
The article describes the development and simulation of a stand-alone hybrid power system based on a variable-speed diesel generator and a hydrogen fuel cell generation system. The goal of the research was to investigate the electromagnetic processes of this power system, which supplies power to autonomous energy consumers with varying load demand. MATLAB Simulink was used to simulate the proposed hybrid power system and check its operating capacity. The results of the simulation include the dependencies of current and voltage changes in the critical components of the hybrid system at stepwise load rate changes. In the future, the developed models and simulation results will allow researchers to select semiconductor devices and create microprocessor-based control systems for electric power installations that meet specific requirements. The dual-channel power system can provide a required power output of 3 kW when powered by a diesel generator and 1 kW when powered by a hydrogen fuel cell. At the same time, the total harmonic distortion (THD) at a load between 100 W and 3 kW varies within acceptable limits between 3.6% and 4.4%. It is worth noting that these higher power complexes can be incorporated into stand-alone electrical grids as well as centralized distribution systems for power deficit compensation during peak loads.
Citation: Andrey Dar'enkov, Aleksey Kralin, Evgeny Kryukov, Yaroslav Petukhov. Research into the operating modes of a stand-alone dual-channel hybrid power system[J]. AIMS Energy, 2024, 12(3): 706-726. doi: 10.3934/energy.2024033
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The article describes the development and simulation of a stand-alone hybrid power system based on a variable-speed diesel generator and a hydrogen fuel cell generation system. The goal of the research was to investigate the electromagnetic processes of this power system, which supplies power to autonomous energy consumers with varying load demand. MATLAB Simulink was used to simulate the proposed hybrid power system and check its operating capacity. The results of the simulation include the dependencies of current and voltage changes in the critical components of the hybrid system at stepwise load rate changes. In the future, the developed models and simulation results will allow researchers to select semiconductor devices and create microprocessor-based control systems for electric power installations that meet specific requirements. The dual-channel power system can provide a required power output of 3 kW when powered by a diesel generator and 1 kW when powered by a hydrogen fuel cell. At the same time, the total harmonic distortion (THD) at a load between 100 W and 3 kW varies within acceptable limits between 3.6% and 4.4%. It is worth noting that these higher power complexes can be incorporated into stand-alone electrical grids as well as centralized distribution systems for power deficit compensation during peak loads.
Current worldwide trends in the field of electric power engineering are the reduction of carbon emissions and the decentralization of power generation, with the aim of improving environmental friendliness, reliability, and the quality of electricity supply to consumers [1]. One of the primary technologies that reflect and implement these trends is distributed generation, which refers to a low-power generating system that uses technologies of various types and produces electricity at the consumer's location [2].
One of the main reasons behind the development of distributed energy generation is the need to support the operation of a large number of consumers in regions without a centralized power supply system. The expansion of distributed energy use in these areas improves energy security, reduces electricity transmission losses, and enhances the security of the energy supply for consumers [3].
Currently, diesel generators are most commonly used to provide power to remote locations, as they have high reliability and relatively long service life [4]. However, they do have some disadvantages. Most existing diesel generators operate at a fixed (nominal) speed over the entire range of loads. This means that the internal combustion engine operates at a constant speed, even when the load on the generator changes. This results in suboptimal fuel efficiency, or reduced efficiency. Using a diesel generator with a variable speed drive engine, dependent on the load on the machine itself, can result in significant fuel savings of up to 20%.
It should be noted that the development and research of hybrid power systems based on diesel generators (DGs) with variable rotational speed constitute a relatively new technical direction in the field of small-scale power generation [5]. The main advantages of these plants include the stability of the power supply to consumers, the ability to maneuver, and the reduced negative impact on the environment [6]. It is most frequently proposed to combine DGs with power plants that use alternative energy sources [7].
A significant number of current global studies are devoted to the development and exploration of hybrid power systems. The primary focus of researchers is on incorporating renewable energy sources into existing conventional power generation facilities. A hybrid power system based on a diesel generator combined with solar and wind generation is discussed in detail in article [8]. During the modeling process, the authors investigated the operation of the power installation by gradually increasing the electrical load power (from 500 to 2,000 V∙A at a power factor of 0.9 and a frequency of 50 Hz). They also tested the operation of energy converters during this process. This research demonstrates the efficiency of a hybrid power system that combines a diesel generator with renewable energy sources, such as solar and wind power. The article [9] discusses the potential integration of renewable energy sources, such as wind and solar power, into a diesel-powered power plant that would serve oil and gas facilities. Options for implementing a wind farm or a solar panel farm were considered. However, the first option was chosen because solar panels are not effective in this region due to the low levels of sunlight. Additionally, the optimal configuration for the wind farm's equipment was determined. A hybrid power system for marine transportation is presented in [10]. This system consists of photovoltaic solar panels, a hydrogen fuel cell, and a diesel generator. According to the study, the system can reduce greenhouse gas emissions by 15% and produce 20% of its electricity from a fuel cell, which is powered by hydrogen. In [11], a three-channel power generation system is investigated, consisting of a wind turbine, a diesel generator, and a fuel cell. The wind turbine and the diesel generator are the main channels for producing electric energy, while the fuel cell serves as an auxiliary source. The management system for the installation is also considered.
There is also a lot of research into the development of hybrid power plants that operate only on renewable energy sources. These types of power plants are becoming especially popular due to the increasing number of renewable energy options available, because hybrid power plants can help to improve the reliability of the power supply for consumers. In the article [12], the authors developed a hybrid power generation system that combines a wind turbine, solar panels, and batteries Studies were conducted to evaluate the system's performance under different operating conditions. The results showed that the hybrid system achieved maximum efficiency during the summer months, with 78% of electricity generated from the wind turbine. In [13,14], the issue of integrating renewable energy sources into the electricity grid is discussed. The authors proposed using a direct current (DC) microgrid to simplify the control of electrical parameters and lower costs. The integration of large amounts of renewable energy systems necessitates the transformation of existing networks. As renewable energy facilities are gradually introduced, costs decrease thanks to the advancement of their production techniques, making it feasible to integrate new power stations into distribution networks at minimal cost.
Generating power from hydrogen fuel cells, with water as a reaction product, is becoming one of the most promising sources of energy today [15]. Key advantages of fuel cells are higher energy efficiency due to their reliability (absence of moving parts) and absences of intermediate stages of energy conversion (electrical efficiency up to 60%), polluting emissions, and noise [16]. Hydrogen fuel cells are already widely used in the transportation industry, space sector, etc. [17,18,19,20,21]. Meanwhile, fuel cells have some disadvantages, such as slow dynamic response, long starting time, and soft discharge characteristics [22]. These problems can be addressed by combining fuel cells with other energy sources in a hybrid power generation system. The articles [23,24] discuss technologies for integrating hydrogen energy into hybrid energy systems. They pay special attention to the generation of electricity using hydrogen fuel cells. They also consider the issues of energy storage systems, power flow management, and optimization algorithms and software for control systems. A method was proposed for optimizing the performance of hydrogen systems which allows for the numerical assessment of environmental, socio-environmental, and technical factors. The article [25] discusses the idea of incorporating fuel cells into a hybrid transportation system. A study on the economic viability of implementing a hydrogen fuel cell installation was conducted. As a result, a bus equipped with a serial hybrid system and lithium-ion batteries was designed.
Currently, a significant amount of research is devoted to optimizing hybrid power plants. In [26], the authors developed a hybrid power grid based on solar panels, wind turbines, batteries, and diesel generators. The optimization process revealed that the proposed network configuration offers optimal power generation with minimal investment and emissions. In [27], the researchers developed an algorithm for optimizing Raspberry Pi Pico controllers for solar panels. This algorithm achieves the maximum output power from solar panels, confirming its efficiency and highlighting the potential for placing solar panels as trees. The article [28] describes a modification to a high-voltage DC converter designed for use with renewable energy sources. Additionally, studies [29,30] analyzed various methods for optimizing hybrid energy systems based on renewable energy sources.
This work focuses on the development and simulation of a stand-alone dual-channel hybrid power system based on a variable-speed diesel generator and hydrogen fuel cell system. The main advantage of this proposed design is the utilization of a variable-speed diesel generator, which significantly decreases specific fuel consumption in comparison to conventional power plants with a constant-speed generator. This allows for optimal thermal conditions and reduces wear on the engine, leading to increased engine lifespan.
The aim of this study was to investigate the electromagnetic characteristics of a proposed power plant during operation with autonomous consumers with variable stepwise load profiles. The results allow us to establish the optimal configuration and specifications of electrical components for the subsequent implementation of a prototype dual-channel hybrid power system.
Figure 1 shows the structure of a stand-alone dual-channel hybrid power system developed by the authors. Due to the larger number of adjustable parameters, the dynamic requirements of the stabilization circuits can be reduced, and the output voltage can be maintained at a high-quality level.
This system provides the consumer with electric power from two different energy sources. The primary source, which is a variable speed DG, stabilizes the output voltage and frequency. The DG consists of an internal combustion engine that rotates a three-phase synchronous generator. The load power at the diesel generator feeding is P = 3 kW with a nominal phase voltage of Uphase = 220 V and a frequency of f = 50 Hz.
When the main power generation channel is active, the switch K1 is closed, and K2 is open. The diesel engine (DE) drives a three-phase synchronous generator (SG). When the load power increases from zero to its nominal value, the rotation speed of the engine shaft and, consequently, the amplitude of the generator voltage will vary within a wide range. A controlled rectifier, connected to the generator via the impedance of an RL transmission line, stabilizes the output voltage at 250 V. This ensures that, despite changes in the speed of the diesel engine shaft, the required constant voltage is maintained at the DC link output.
From the output of the three-phase thyristor converter, a six-pulse rectified voltage is supplied to the first LC filter. Next, the smoothed voltage from the DC link (from the first filter) is supplied to a three-phase pulse width modulation (PWM) inverter. The PWM inverter output voltage is then supplied to the second LC filter. At the output of this filter, the smoothed sinusoidal voltage UL-L is 220 V. The step-up three-phase transformer increases the voltage to the desired nominal value of 380 V.
The auxiliary power generation system with a lower power capacity (Pnom = 1 kW, UL-L = 380 V) is powered by a hydrogen fuel cell system. The key component in the hydrogen fuel cell (HFC) structure is the hydrogen fuel cell stack, which significantly influences the efficiency and reliability of the power supply through this second channel. The model uses the parameters of the Horizon H-1000 X-Series hydrogen fuel cell to power a 1 kW load.
During operation of the second power generation channel, the switch K2 is closed, and the switch K1 is open. The voltage of 44 V from the hydrogen fuel cell is supplied to a step-up DC-DC converter. The output of the converter supplies a voltage of 250 V to a three-phase PWM converter, which then goes through an LC filter and a step-up transformer before reaching the load. When the load changes from 0 to its nominal state, the control system adjusts the output voltage of the step-up DC-DC converter to maintain it at the required 250 V level.
During the design and development stages of energy complexes with complex structures, it is practical to use computer simulation modeling. Computer modeling allows one to research electromagnetic processes of the developed facility, determine the optimal control system structure, and solve the problem of electromagnetic compatibility of the power system major components, as well as load issues. Therefore, simulation modeling in a MATLAB Simulink environment was chosen as a research methodology.
The structure of the simulation model is based on an experimental power system prototype. The hybrid system model was developed using the MATLAB Simulink visual programming environment, which includes elements from the SimPowerSystems library for electrical devices. To solve the differential equations, the ode23tb solver was used. This solver employs the Runge-Kutta method for the initial part of the solution and a second-order implicit differentiation formula for the final part. This approach ensures high performance and accuracy in the model. The end time for the simulation is determined by the completion of transient processes that occur when the load changes.
Figure 2 shows a stand-alone dual-channel hybrid power system (SDHPS) simulation model developed using the MATLAB Simulink software package. The model consists of the following key components:
● diesel engine,
● diesel engine control system,
● three-phase synchronous generator,
● three-phase bridge-circuit thyristor rectifier with smoothing exit filter,
● thyristor rectifier pulse-phase control system,
● autonomous voltage inverter with smoothing filter,
● PWM control system,
● step-up three-phase transformer,
● hydrogen fuel cell,
● hydrogen fuel cell control system,
● step-up pulse DC/DC-converter,
● DC/DC-converter control system,
● load,
● microprocessor-based control system of stand-alone dual-channel hybrid power system.
Table 1 shows the main parameters of the SDHPS simulation model blocks. The technical characteristics of the actual blocks of the hybrid power plant physical prototype have been used as parameters for the blocks in the simulation model. These values were obtained from publicly available catalogs (reference books) on electrical equipment and semiconductor components.
System unit | Parameter | Value |
Diesel engine | Power, hp at crankshaft speed, rpm |
4 3,000 |
Three-phase synchronous generator | Rated speed, rpm | 3,000 |
Rated power, kV∙A | 3.5 | |
Rated voltage, kV | 0.4 | |
Frequency, Hz | 50 | |
Number of phases | 3 | |
Three-phase bridge-circuit thyristor rectifier | Rated mains voltage, kV | 0.38 |
Network frequency, Hz | 50 | |
Rated load current, A | 10 | |
Output voltage, V | 0 ÷ 350 | |
Autonomous voltage inverter | Input voltage, V | 250 |
Rated power, kW | 3 | |
Rated load current, A | 8 | |
Output voltage, V | 220 | |
Step-up three-phase transformer | Rated power, kV∙A | 3.5 |
Low voltage (line), V | 150 | |
High voltage (line), V | 380 | |
Windings connection | ∆/Y | |
Hydrogen fuel cell | Rated power, W | 1,000 |
Efficiency, % | 56 | |
Output voltage, V | 44 | |
Fuel supply pressure, bar | 0.6 | |
Operating temperature, ℃ | 65 | |
Maximum hydrogen consumption, l/min | 34 | |
Step-up pulse DC/DC-converter | Frequency, kHz | 10 |
Rated output voltage, V | 250 | |
Rated load current, A | 4 | |
Load power, kW | 1 | |
Input voltage, V | 44 | |
Load | Rated line voltage, V | 380 |
Windings connection | Y | |
Maximum power, kW | 3 |
As mentioned above, a synchronous generator is powered by a turbocharged internal combustion engine. The system of equations described below applies to this type of engine [31].
(Taxp+δDμ)y0=k1yA−μ0;(TTp+δT)yT=kTy0−yA;(TKp+δM)yA=yT−kKy0;(Taxp+δD)y0=χ0−kDyA;(TTp+δT)yT=khχ0+kTy0−yAkggC=χ0+θϕy0;} | (1) |
Figure 3 shows the structure of the DE model, which is based on Eq 1.
A synchronous generator model is an essential component of the SDHPS model. The model was developed based on Park-Gorev equations in a d-q coordinate system using per-unit notation [32].
When deriving the differential equations for a synchronous machine, several standard assumptions have been made:
● The positive directions of voltages and currents coincide with the positive d and q axes.
● The positive current directions of the excitation winding and damper winding also coincide with the d and q axes.
● The stator windings are assumed to be symmetrical, and there are no high spatial harmonics in the field.
● Iron losses and the dependence of resistances on temperature are neglected.
● The positive armature current direction is opposite to the d and q axes.
Considering the presented assumptions, the equations for the synchronous machine can be written as follows:
ud=−r1⋅id+p⋅Ψd⋅1Ω0−Ψq⋅ω; | (2) |
uq=−r1⋅iq+p⋅Ψq⋅1Ω0+Ψd⋅ω; | (3) |
uf=rf⋅if+p⋅Ψf⋅1Ω0; | (4) |
ukd=rkd⋅ikd+p⋅Ψkd⋅1Ω0=0; | (5) |
ukq=rkq⋅ikq+p⋅Ψkq⋅1Ω0=0; | (6) |
Ψd=xmd(−id+if+ikd)−xas⋅id; | (7) |
Ψq=xmq(−iq+ikq)+xas⋅iq; | (8) |
Ψf=xmd(−id+if+ikd)+xfs⋅if; | (9) |
Ψkd=xmd(−id+if+ikd)+xkds⋅ikd; | (10) |
Ψkq=xmq(−iq+ikq)+xkqs⋅ikq; | (11) |
u2a=u2d+u2q; | (12) |
i2a=i2d+i2q; | (13) |
P=ud⋅id+uq⋅iq; | (14) |
Q=−ud⋅iq+uq⋅id; | (15) |
μ=J⋅Ω0M0⋅dωdt+Ψq⋅id−Ψd⋅iq. | (16) |
Figure 4 shows a synchronous generator model, developed according to Eqs 2–16.
To regulate the output voltage of the DC link, the bridge-circuit thyristor rectifier is installed at the output of the synchronous generator. It is advisable to use a controlled rectifier to ensure electromagnetic compatibility during the parallel operation of the diesel generator set and the hydrogen fuel cell, in case of a wide change in load power.
It should be noted that the study of joint parallel operation is beyond the scope of this article. This paper considers the separate operation of two power generation channels.
The model was created using standard elements from the SimPowerSystems and Simulink libraries. The control system for the thyristor converter includes a proportional integral (PI) voltage controller. The controller generates control pulses for each of the six thyristors in the rectifier bridge.
A SimPowerSystems Universal Bridge with insulated-gate bipolar transistor (IGBT) library contents block was used to create a three-phase inverter power circuit. Due to PWM, the voltage is regulated at the frequency converter output, and its form is approximated to the sinusoidal one. The autonomous voltage inverter (AVI) control system contains a PI voltage controller. An LC filter is used to smooth the PWM signal at the autonomous voltage inverter output.
The filter is primarily used to provide the desired AC total harmonic distortion (THD) in stationary mode. As soon as a three-phase inductive transformer is connected to AVI output, the filter calculation is approximate. Filter parameters' adjustment may be required further on, taking into consideration on-load non-linear voltage distortion coefficient. The filter parameters' calculated values for carrier frequency fk = 2000 Hz are Lf ≥ 6.5 mH, Сf = 12 µF.
As shown in Figure 1, a step-up transformer is positioned after the filter, with load Zl connected to the transformer output. The standard model of the three-phase transformer from the SimPowerSystems library is used.
For 1 kW hydrogen fuel cell modeling, the library cell Fuel Cell Stack of the Electric Drives/Extra Sources library with real stack parameters Horizon H-1000 series X was used.
Calculated current-voltage characteristics of the HFC model and its nominal parameters are shown in Figure 5 [33,34].
The voltage from the hydrogen fuel cell is converted to a higher voltage using a pulse step-up DC-DC converter (Figures 1 and 2). These converters are more efficient than continuous voltage stabilizers and can also have good weight and size characteristics in some cases.
The SDHPS experimental prototype was developed to verify the simulation results. Figure 6 shows a photo of the prototype main blocks: (a) hydrogen fuel cell and (b) diesel generator set.
The main characteristics of the physical models for HFC and DG are presented in Table 1.
The results of the physical and simulation experiments are presented in terms of the time dependencies of the individual SDHPS units, with a stepwise change of the load (Figures 7 and 8).
Figure 7 shows the dependencies of the load current Iload, the rotational speed of the synchronous generator shaft ω, the control angle of the thyristor rectifier αy, and the voltage at the output of the rectifier Ud, with a stepwise changing load curve.
The following markings are used in Figures 7 and 8: The blue solid line represents the result of simulation modeling, the red dashed line represents the results of physical modeling.
Initially, the synchronous generator was operating with a load of 1.15 kW. The rotational speed of the generator shaft was 190 rad/s, and the load current was 1.75 A at this point. At times t = 15 s, 20 s, and 25 s, there were stepwise changes in the load. In the interval from 0 to 15 seconds, the load remained at 1.15 kW. Between 15 and 20 seconds, it increased to 2.05 kW. From 20 to 25 seconds, it reached 3 kW. Finally, between 25 and 30 seconds, the load returned to 2.05 kW.
At time t = 15 s, with a load of 900 W, the rotation speed of SG increased to 240 rad/s. When an additional 1 kW load was applied at time t = 20 s, the rotation speed of the SG shaft increased to 330 rad/s. As the load decreased at t = 25 s, the shaft speed decreased to 240 rad/s. The SDHPS control system adjusts the rotation speed of the generator's shaft based on changes in load, allowing for an efficient mode of operation for the diesel engine. This is described in the paper [31].
Depending on the load, the SDHPS control system adjusts the control angles of the bridge rectifier's thyristors. Figure 7(c) shows a graph of the corresponding change in angle αy. At a load of P = 1.15 kW, the angle is 55 degrees, while at a load of 2.05 kW, it is 50 degrees, and at 3.05 kW, it drops to 40 degrees. Studies have shown that as the load changes from no load to full capacity, adjusting the control angle helps to stabilize the output voltage of the bridge rectifier at Ud = 250 V ± 5%. In this scenario, the load voltage remains within ΔU1 = 380 V ± 2.5%, as shown in Figure 8. This demonstrates the proper operation of the SDHPS control system within the specified load range.
Spectral analysis of output voltage (on-load voltage) was carried out to assess voltage quality. Figure 9(a) shows spectral distribution and coefficient value of line voltage non-linear distortions after the filter, and Figure 9(b) shows this after the transformer or on-load at load power P = 1500 W.
It can be observed that the non-linear distortion coefficient in the first case is THD = 4.18%, while in the second case THD = 3.82%. Higher harmonics amplitudes do not exceed 3% of the first harmonic. It can be concluded that, due to the transformer's inductance, the quality of the voltage delivered to the load has been slightly improved.
Figure 10 demonstrates the dependence between the nonlinear voltage distortion factor and the load level, ranging from 100 W to 3 kW, for the simulated (blue line) and physical (red dotted line) systems. In this case, the total harmonic distortion varies between 4.4% and 3.6% for the simulated model and between 4.6% and 3.75% for the physical prototype. Based on these findings, it can be concluded that the voltage quality supplied by the load across the entire power range meets the standards for 0.4 kV networks, with THD less than 8%.
It should be noted that the difference between the simulation results and the data from the physical experiment for all the studied variables is no more than 3%. This indicates that the simulation model has an acceptable level of accuracy. The discrepancy can be explained by the simplifications made in the blocks of the simulation model.
As an example, Figure 11 shows the time dependencies of the output voltage, output current, IGBT current, and IGBT voltage of the step-up DC-DC converter, obtained as a result of simulation. The dependencies were calculated for a load of 1 kW and a carrier frequency of 10 kHz. Figure 11 demonstrates that the maximum collector current of the IGBT is 60 A, at a voltage of 250 V.
The time dependences of the currents and voltages of the main components obtained as a result of simulation make it possible to select a component base for constructing the power section of a DC-DC converter.
A new stand-alone dual-channel hybrid power system, which uses a variable-speed diesel generator and hydrogen fuel cells, has been proposed. The diesel generator is the main source of electrical power generation. The hydrogen fuel cell acts as a backup power source. The dual-power system provides 3 kW of power when powered by the generator and 1 kW when powered by the fuel cell.
A unique feature of the proposed installation is the use of a developed variable-speed diesel generator. This system can reduce specific fuel consumption by up to 30% compared to conventional power plants that use constant-speed diesel generators. This allows for optimal thermal conditions and reduces wear on the engine, leading to increased engine lifespan.
An SDHPS simulation model was developed which consists of the following main components: diesel engine, synchronous generator, bridge-circuit thyristor rectifier, autonomous voltage inverter, step-up DC-DC converter, HFC, L-type filters, and transformer. Current, voltage, and capacity dependencies of SDHPS individual components were obtained as a result of computer modeling. Harmonic analysis of on-load voltages was carried out. It was found that at stepwise load demand change, THD non-linear distortion coefficient does not exceed 4.4%. At this, output voltage value fluctuation does not exceed 1%. Thus, on-load voltage quality meets standards' requirements.
The physical prototype of the SDHPS was described. The results of the computer simulation were compared to experimental data obtained from a physical prototype, showing high convergence.
The simulation results confirmed the operability and effectiveness of the proposed technical solutions. The introduction of the developed SDHPS into power systems for autonomous consumers will increase continuity, reliability, and environmental friendliness in their power supply.
The authors state that they did not utilize artificial intelligence (AI) tools in crafting this article.
This research was funded by the Ministry of Science and Higher Education of the Russian Federation (state task No. FSWE-2022-0005).
Conceptualization, A.D. and A.K.; methodology, A.K.; software, Y.P.; validation, E.K. and A.K.; formal analysis, E.K.; investigation, A.K.; resources, A.D.; data curation, A.K.; writing—original draft preparation, Y.P. and A.K.; writing—review and editing, A.D. and E.K.; visualization, Y.P.; supervision, A.D. and E.K.; project administration, A.D. and E.K.; funding acquisition, E.K. All authors have read and agreed to the published version of the manuscript.
The authors assert that there are no competing interests in relation to the publication of this manuscript.
Symbol | Definition | Symbol | Definition |
y0, µ0 | shaft speed and engine load | ψf | excitation winding flux-linkage |
yA | forced air pressure | rf, r1 | excitation winding and armature winding active resistance |
yT | turbine rotor speed | rkd, rkq | active resistance of the damper winding along the longitudinal and transverse axes |
χ0 | fuel pump rack position | xmd, xmq | stator winding inductive resistance projections on d and q axes |
gС | cyclical fuel delivery | xkds, xkqs | damper winding inductive resistance projections on d and q axes |
Tаµ, TT, Tаx, TK | constants of diesel time in load action channel, turbocharger, intake manifold, diesel in regulatory action channel | xfs, xas | dissipation inductive resistance of excitation winding and armature winding |
δDµ, δD | diesel self-regulation in load action and regulatory action channels | M0 | load moment on SG shaft |
δT, δM | intake manifold and turbocharger coefficients | Ω0 | synchronous angular frequency |
k1, kD | diesel shaft torque dependency ratios to charging pressure and moment of resistance change on diesel shaft at load power change | J | rotating mass moment of inertia |
kT, kK, kh, kg | air-flow rate through the diesel de-pendency ratios to its speed respectively, turbine torque dependency on its speed, turbine torque dependency on fuel pump rack position, diesel self-regulation | P | active power |
ϴɸ | diesel fuel-injection equipment gain ratio | Q | reactive power |
ud, uq | armature voltage vector projection on d axis, q | ω | rotation speed |
uf | excitation voltage | µ | electromagnetic moment |
if | excitation winding current | ua | stator voltage |
ia | stator current | m | the number of rectification phases |
id, iq | armature current vector projection on d and q axes | Uline | line voltage |
ikd, ikq | damper winding current projection on d and q axes | Ud | mean on-load voltage |
ψd, ψq | d and q axes stator flux-linkage | ψkd, ψkq | damper circuit projection on d and q axes |
Abbreviation | Meaning |
AVI | autonomous voltage inverter |
CC | coordinate converter |
CS | current sensor |
DE | diesel engine |
DG | diesel generator |
FC | frequency controller |
FS | frequency sensor |
FCU | fuel control unit |
HFC | hydrogen fuel cell |
ICE | internal combustion engine |
LCS | load current sensor |
PI | proportional integral controller |
PWM | pulse width modulation |
SDHPS | stand-alone dual-channel hybrid power system |
SPG | synchronized 6-pulse generator |
SG | three-phase synchronous generator |
VR | voltage regulator |
[1] |
Voropay NI (2020) Trends and problems of electrical energy systems' transformation. Electricity 7: 12–21. https://doi.org/10.24160/0013-5380-2020-7-12-21 doi: 10.24160/0013-5380-2020-7-12-21
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[2] | Sun F, Hou W, Yin B, et al. (2009) Preliminary studies on the linking of building hybrid energy system and distributed power generation system. 1st International Conference on Sustainable Power Generation and Supply, Nanjing, China. https://doi.org/10.1109/SUPERGEN.2009.5348238 |
[3] | Gomez JC, Morcos MM (2008) Distributed generation: Exploitation of islanding operation advantages. IEEE/PES Transmission and Distribution Conference and Exposition, Bogota, Colombia, 1–5. https://doi.org/10.1109/TDC-LA.2008.4641736 |
[4] |
Leuchter J, Bauer P, Rerucha V, et al. (2009) Dynamic behavior modeling and verification of advanced electrical-generator set concept. IEEE Trans Ind Electron 56: 266–279. https://doi.org/10.1109/TIE.2008.2009517. doi: 10.1109/TIE.2008.2009517
![]() |
[5] | Theubou T, Wamkeue R, Kamwa I (2012) Dynamic model of diesel generator set for hybrid wind-diesel small grids applications. 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Montreal, Canada, 1–4. https://doi.org/10.1109/CCECE.2012.6334849 |
[6] | Hanjalić S, Helać V (2016) Hybrid solar-wind power plants-simulation of a daily cycle and the criteria for the connection to the power grid. 4th International Symposium on Environmental Friendly Energies and Applications (EFEA), Belgrade, Serbia, 1–6. https://doi.org/10.1109/EFEA.2016.7748781. |
[7] |
Díaz-de-Baldasano MC, Mateos FJ, Núñez-Rivas LR, et al. (2013) Conceptual design of offshore platform supply vessel based on hybrid diesel generator-fuel cell power plant. Appl Energy 116: 91–100. https://doi.org/10.1016/j.apenergy.2013.11.049 doi: 10.1016/j.apenergy.2013.11.049
![]() |
[8] |
Kocheganov DM, Serebryakov АV, Dar'enkov AB, et al. (2020) Combined electric power plant simulation model. Bulletin of South Ural State University. Series: Power Engineering 20: 70–76. https://doi.org/10.14529/power200408. doi: 10.14529/power200408
![]() |
[9] | Zhdanov I (2020) Hybrid power plant for power supply of autonomus objects. Master's thesis, Czech Technical University, Prague. Available from: https://dspace.cvut.cz/handle/10467/88134. |
[10] | Ghenai C, Al-Ani I, Khalifeh F, et al. (2019) Design of solar pv/fuel cell/diesel generator energy system for dubai ferry. 2019 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 1–5. https://doi.org/10.1109/ICASET.2019.8714292. |
[11] | Kumar S, Garg V (2013) Hybrid system of PV solar/wind & fuel cell. Int J Adv Res Electr, Electron Instrum Eng 2: 3666–3679. Available from: https://www.ijareeie.com/upload/2013/august/20_HYBRID.pdf. |
[12] |
Mahesar S, Kaloi GS, Kumar M, et al. (2018) Power management of a stand-alone hybrid (wind/solar/battery) energy system: An experimental investigation. Int J Adv Comput Sci Appl 9: 216–221. https://doi.org/10.14569/IJACSA.2018.090631 doi: 10.14569/IJACSA.2018.090631
![]() |
[13] | Seeling-Hochmuth G (1998) Optimisation of hybrid energy systems sizing and operation control. Dissertation, University of Kassel, Hesse. Available from: https://www.uni-kassel.de/upress/online/frei/978-3-933146-19-9.volltext.frei.pdf. |
[14] |
Paska J, Biczel P, Klos M (2009) Hybrid power systems—An effective way of utilising primary energy sources. Renewable Energy 34: 2414–2421. https://doi.org/10.1016/j.renene.2009.02.018 doi: 10.1016/j.renene.2009.02.018
![]() |
[15] |
Pan G, Bai Y, Song H, et al. (2023) Hydrogen fuel cell power system—development perspectives for hybrid topologies. Energies 16: 2680. https://doi.org/10.3390/en16062680 doi: 10.3390/en16062680
![]() |
[16] |
Sosnina ЕN, Shalukho AV, Veselov LE (2020) Application of SOFCs on biogas in power supply systems of agricultural enterprises. Smart Electr Eng 12: 27–41. https://doi.org/10.46960/2658-6754_2020_4_27 doi: 10.46960/2658-6754_2020_4_27
![]() |
[17] |
Hemmes K (2021) A personal retrospect on three decades of high temperature fuel cell research; ideas and lessons learned. Int J Hydrogen Energy 46: 14962–14976. https://doi.org/10.1016/j.ijhydene.2020.12.196 doi: 10.1016/j.ijhydene.2020.12.196
![]() |
[18] |
Zhou S, Cui Q, Zhang M, et al. (2018) Study on the management of fuel cell vehicle energy system using hybrid fuzzy logic controller. Power Gener Technol 39: 554–560. https://doi.org/10.12096/j.2096-4528.pgt.18157 doi: 10.12096/j.2096-4528.pgt.18157
![]() |
[19] |
Pinheiro Melo S, Toghyani S, Cerdas F, et al. (2023) Model-based assessment of the environmental impacts of fuel cell systems designed for eVTOLs. Int J Hydrogen Energy 48: 3171–3187. https://doi.org/10.1016/j.ijhydene.2022.10.083 doi: 10.1016/j.ijhydene.2022.10.083
![]() |
[20] |
Monkam L, Graf von Schweinitz A, Friedrichs J, et al. (2021) Feasibility analysis of a new thermal insulation concept of cryogenic fuel tanks for hydrogen fuel cell powered commercial aircraft. Int J Hydrogen Energy 47: 31395–31408. https://doi.org/10.1016/j.ijhydene.2022.07.069 doi: 10.1016/j.ijhydene.2022.07.069
![]() |
[21] |
Kösters TL, Liu X, Kožulović D, et al. (2022) Comparison of phase-change-heat-pump cooling and liquid cooling for PEM fuel cells for MW-level aviation propulsion. Int J Hydrogen Energy 47: 29399–29412. https://doi.org/10.1016/j.ijhydene.2022.06.235 doi: 10.1016/j.ijhydene.2022.06.235
![]() |
[22] | Li G, Chen J, Zheng X, et al. (2020) Research on energy management strategy of hydrogen fuel cell vehicles. 2020 Chinese Automation Congress (CAC), Shanghai, China, 7604–7607. https://doi.org/10.1109/CAC51589.2020.9326669 |
[23] |
Eriksson ELV, Gray E (2017) Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems—A critical review. Appl Energy 202: 348–364. https://doi.org/10.1016/j.apenergy.2017.03.132. doi: 10.1016/j.apenergy.2017.03.132
![]() |
[24] |
Filimonova АА, Chichirov АА, Chichirova ND, et al. (2022) Design layout review of hybrid systems with solid-oxide fuel cell and gas turbine for combined heat and power production. Siberian Federal Univ J Series: Eng Technol 15: 812–834. https://doi.org/10.17516/1999-494X-0438 doi: 10.17516/1999-494X-0438
![]() |
[25] | Wu W, Bucknall RWG (2013) Conceptual evaluation of a fuel-cell-hybrid powered bus. 48th International Universities' Power Engineering Conference (UPEC), Dublin, Ireland, 1–5. https://doi.org/10.1109/UPEC.2013.6714968 |
[26] |
Ishraque MF, Rahman A, Shezan SA, et al. (2024) Design optimization of a grid-tied hybrid system for a department at a university with a dispatch strategy-based assessment. Sustainability 16: 2642. https://doi.org/10.3390/su16072642. doi: 10.3390/su16072642
![]() |
[27] |
Punitha K, Rahman A, Radhamani AS, et al. (2024) An optimization algorithm for embedded raspberry pi pico controllers for solar tree systems. Sustainability 16: 3788. https://doi.org/10.3390/su16093788. doi: 10.3390/su16093788
![]() |
[28] |
Madisa VG, Ramakrishna NSS, Kamwa I, et al. (2023) Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers. Ain Shams Eng J 14: 102061. https://doi.org/10.1016/j.asej.2022.102061. doi: 10.1016/j.asej.2022.102061
![]() |
[29] |
Shaik M, Gaonkar DN, Ramakrishna NSS, et al. (2024) Nataf-Kernel Density-Spline-based point estimate method for handling wind power correlation in probabilistic load flow. Expert Syst Appl 245: 123059. https://doi.org/10.1016/j.eswa.2023.123059 doi: 10.1016/j.eswa.2023.123059
![]() |
[30] |
Shezan SA, Ishraque MF, Shafiullah G, et al. (2023) Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller. Energy Rep 10: 3272–3288. https://doi.org/10.1016/j.egyr.2023.10.016 doi: 10.1016/j.egyr.2023.10.016
![]() |
[31] |
Khvatov OS, Dar'enkov AB (2014) Power plant based on a variable-speed diesel generator. Russ Electr Eng 85: 145–149. https://doi.org/10.3103/S1068371214030110 doi: 10.3103/S1068371214030110
![]() |
[32] | Yakovleva D, Zhilenkov A, Karpov A (2017) Synthesis of the synchronous machine model operating natural stator windings phase signals and using generator catalogue data. International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), St. Petersburg, Russia, 1–4. https://doi.org/10.1109/ICIEAM.2017.8076367 |
[33] |
Loskutov A, Kurkin A, Shalukho A, et al. (2022) Investigation of PEM fuel cell characteristics in steady and dynamic operation modes. Energies 15: 6863. https://doi.org/10.3390/en15196863 doi: 10.3390/en15196863
![]() |
[34] |
Kulikov AL, Vanyaev VV, Dar'enkov AB, et al. (2021) Backup power supply source with hydrogen fuel cell and lithium iron phosphate battery. Smart Electr Eng 15: 107–124. https://doi.org/10.46960/2658-6754_2021_3_107 doi: 10.46960/2658-6754_2021_3_107
![]() |
1. | Surender Reddy Salkuti, Sustainable energy technologies for emerging renewable energy and electric vehicles, 2024, 12, 2333-8334, 1264, 10.3934/energy.2024057 |
System unit | Parameter | Value |
Diesel engine | Power, hp at crankshaft speed, rpm |
4 3,000 |
Three-phase synchronous generator | Rated speed, rpm | 3,000 |
Rated power, kV∙A | 3.5 | |
Rated voltage, kV | 0.4 | |
Frequency, Hz | 50 | |
Number of phases | 3 | |
Three-phase bridge-circuit thyristor rectifier | Rated mains voltage, kV | 0.38 |
Network frequency, Hz | 50 | |
Rated load current, A | 10 | |
Output voltage, V | 0 ÷ 350 | |
Autonomous voltage inverter | Input voltage, V | 250 |
Rated power, kW | 3 | |
Rated load current, A | 8 | |
Output voltage, V | 220 | |
Step-up three-phase transformer | Rated power, kV∙A | 3.5 |
Low voltage (line), V | 150 | |
High voltage (line), V | 380 | |
Windings connection | ∆/Y | |
Hydrogen fuel cell | Rated power, W | 1,000 |
Efficiency, % | 56 | |
Output voltage, V | 44 | |
Fuel supply pressure, bar | 0.6 | |
Operating temperature, ℃ | 65 | |
Maximum hydrogen consumption, l/min | 34 | |
Step-up pulse DC/DC-converter | Frequency, kHz | 10 |
Rated output voltage, V | 250 | |
Rated load current, A | 4 | |
Load power, kW | 1 | |
Input voltage, V | 44 | |
Load | Rated line voltage, V | 380 |
Windings connection | Y | |
Maximum power, kW | 3 |
Symbol | Definition | Symbol | Definition |
y0, µ0 | shaft speed and engine load | ψf | excitation winding flux-linkage |
yA | forced air pressure | rf, r1 | excitation winding and armature winding active resistance |
yT | turbine rotor speed | rkd, rkq | active resistance of the damper winding along the longitudinal and transverse axes |
χ0 | fuel pump rack position | xmd, xmq | stator winding inductive resistance projections on d and q axes |
gС | cyclical fuel delivery | xkds, xkqs | damper winding inductive resistance projections on d and q axes |
Tаµ, TT, Tаx, TK | constants of diesel time in load action channel, turbocharger, intake manifold, diesel in regulatory action channel | xfs, xas | dissipation inductive resistance of excitation winding and armature winding |
δDµ, δD | diesel self-regulation in load action and regulatory action channels | M0 | load moment on SG shaft |
δT, δM | intake manifold and turbocharger coefficients | Ω0 | synchronous angular frequency |
k1, kD | diesel shaft torque dependency ratios to charging pressure and moment of resistance change on diesel shaft at load power change | J | rotating mass moment of inertia |
kT, kK, kh, kg | air-flow rate through the diesel de-pendency ratios to its speed respectively, turbine torque dependency on its speed, turbine torque dependency on fuel pump rack position, diesel self-regulation | P | active power |
ϴɸ | diesel fuel-injection equipment gain ratio | Q | reactive power |
ud, uq | armature voltage vector projection on d axis, q | ω | rotation speed |
uf | excitation voltage | µ | electromagnetic moment |
if | excitation winding current | ua | stator voltage |
ia | stator current | m | the number of rectification phases |
id, iq | armature current vector projection on d and q axes | Uline | line voltage |
ikd, ikq | damper winding current projection on d and q axes | Ud | mean on-load voltage |
ψd, ψq | d and q axes stator flux-linkage | ψkd, ψkq | damper circuit projection on d and q axes |
Abbreviation | Meaning |
AVI | autonomous voltage inverter |
CC | coordinate converter |
CS | current sensor |
DE | diesel engine |
DG | diesel generator |
FC | frequency controller |
FS | frequency sensor |
FCU | fuel control unit |
HFC | hydrogen fuel cell |
ICE | internal combustion engine |
LCS | load current sensor |
PI | proportional integral controller |
PWM | pulse width modulation |
SDHPS | stand-alone dual-channel hybrid power system |
SPG | synchronized 6-pulse generator |
SG | three-phase synchronous generator |
VR | voltage regulator |
System unit | Parameter | Value |
Diesel engine | Power, hp at crankshaft speed, rpm |
4 3,000 |
Three-phase synchronous generator | Rated speed, rpm | 3,000 |
Rated power, kV∙A | 3.5 | |
Rated voltage, kV | 0.4 | |
Frequency, Hz | 50 | |
Number of phases | 3 | |
Three-phase bridge-circuit thyristor rectifier | Rated mains voltage, kV | 0.38 |
Network frequency, Hz | 50 | |
Rated load current, A | 10 | |
Output voltage, V | 0 ÷ 350 | |
Autonomous voltage inverter | Input voltage, V | 250 |
Rated power, kW | 3 | |
Rated load current, A | 8 | |
Output voltage, V | 220 | |
Step-up three-phase transformer | Rated power, kV∙A | 3.5 |
Low voltage (line), V | 150 | |
High voltage (line), V | 380 | |
Windings connection | ∆/Y | |
Hydrogen fuel cell | Rated power, W | 1,000 |
Efficiency, % | 56 | |
Output voltage, V | 44 | |
Fuel supply pressure, bar | 0.6 | |
Operating temperature, ℃ | 65 | |
Maximum hydrogen consumption, l/min | 34 | |
Step-up pulse DC/DC-converter | Frequency, kHz | 10 |
Rated output voltage, V | 250 | |
Rated load current, A | 4 | |
Load power, kW | 1 | |
Input voltage, V | 44 | |
Load | Rated line voltage, V | 380 |
Windings connection | Y | |
Maximum power, kW | 3 |
Symbol | Definition | Symbol | Definition |
y0, µ0 | shaft speed and engine load | ψf | excitation winding flux-linkage |
yA | forced air pressure | rf, r1 | excitation winding and armature winding active resistance |
yT | turbine rotor speed | rkd, rkq | active resistance of the damper winding along the longitudinal and transverse axes |
χ0 | fuel pump rack position | xmd, xmq | stator winding inductive resistance projections on d and q axes |
gС | cyclical fuel delivery | xkds, xkqs | damper winding inductive resistance projections on d and q axes |
Tаµ, TT, Tаx, TK | constants of diesel time in load action channel, turbocharger, intake manifold, diesel in regulatory action channel | xfs, xas | dissipation inductive resistance of excitation winding and armature winding |
δDµ, δD | diesel self-regulation in load action and regulatory action channels | M0 | load moment on SG shaft |
δT, δM | intake manifold and turbocharger coefficients | Ω0 | synchronous angular frequency |
k1, kD | diesel shaft torque dependency ratios to charging pressure and moment of resistance change on diesel shaft at load power change | J | rotating mass moment of inertia |
kT, kK, kh, kg | air-flow rate through the diesel de-pendency ratios to its speed respectively, turbine torque dependency on its speed, turbine torque dependency on fuel pump rack position, diesel self-regulation | P | active power |
ϴɸ | diesel fuel-injection equipment gain ratio | Q | reactive power |
ud, uq | armature voltage vector projection on d axis, q | ω | rotation speed |
uf | excitation voltage | µ | electromagnetic moment |
if | excitation winding current | ua | stator voltage |
ia | stator current | m | the number of rectification phases |
id, iq | armature current vector projection on d and q axes | Uline | line voltage |
ikd, ikq | damper winding current projection on d and q axes | Ud | mean on-load voltage |
ψd, ψq | d and q axes stator flux-linkage | ψkd, ψkq | damper circuit projection on d and q axes |
Abbreviation | Meaning |
AVI | autonomous voltage inverter |
CC | coordinate converter |
CS | current sensor |
DE | diesel engine |
DG | diesel generator |
FC | frequency controller |
FS | frequency sensor |
FCU | fuel control unit |
HFC | hydrogen fuel cell |
ICE | internal combustion engine |
LCS | load current sensor |
PI | proportional integral controller |
PWM | pulse width modulation |
SDHPS | stand-alone dual-channel hybrid power system |
SPG | synchronized 6-pulse generator |
SG | three-phase synchronous generator |
VR | voltage regulator |