Thirteen-level inverter for photovoltaic applications

Lasanthika Dissawa; Nirmana Perera; Kapila Bandara; Prabath Binduhewa; Janaka Ekanayake; Lasanthika Dissawa; Nirmana Perera; Kapila Bandara; Prabath Binduhewa; Janaka Ekanayake

doi:10.3934/energy.2016.2.397

AIMS Energy

2016, Volume 4, Issue 2: 397-413. doi: 10.3934/energy.2016.2.397

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Research article

Thirteen-level inverter for photovoltaic applications

1.
Department of Electrical and Electronic Engineering, University of Peradeniya, Sri Lanka
2.
Ceylon Electricity Board, Sri Lanka
3.
Institute of Energy, Cardiff University, UK

Received: 30 December 2015 Accepted: 14 March 2016 Published: 22 March 2016

With the recent cost reduction and efficiency improvement of solar photovoltaic (PV) cells, there is a growing interest towards PV systems in different applications. One promising application is solar PV powered electric vehicles. When they are moving on roads, the whole or some parts of the PV system might be shaded by trees, high buildings, etc.; which result in non-uniform insolation conditions. As a remedial measure, this paper presents a development of a cascaded multi-level inverter based PV system for electric vehicle applications. The basic architecture and switching of the converter switches are described. A laboratory prototype of the proposed architecture was implemented using MOSFETs and harmonic performance under different shading conditions was evaluated. It was found, that under shaded conditions, the 3rd harmonic content can increase and that it depends on the number of modules shaded and the loading condition. The shading performance, losses and power utilization of the cascaded multi-level inverter are compared with that of a conventional Pulse Width Modulated (PWM) inverter architecture. The proposed inverter shows better immunity for shading than a PWM inverter. Furthermore, it was found that the switching losses of the proposed inverter are one 10th to one 20th of that of a PWM inverter. Additionally, by properly selecting the switches, it is also possible to reduce the conduction losses compared to that of a PWM inverter. Even though the power utilization is compromised at full insolation, the power utilization performance of the proposed inverter is superior under shading conditions, thus ideally suited for the selected application. As the modular nature of the proposed inverter allows cascading of more H-bridges with fewer cells, the harmonic, shading, loss and power utilization performance of the proposed inverter can be enhanced with more number of steps in the output waveform.

Keywords:

Citation: Lasanthika Dissawa, Nirmana Perera, Kapila Bandara, Prabath Binduhewa, Janaka Ekanayake. Thirteen-level inverter for photovoltaic applications[J]. AIMS Energy, 2016, 4(2): 397-413. doi: 10.3934/energy.2016.2.397

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Abstract

References

[1]	Barton JP, Infield DG (2014) Energy Storage and Its use with Intermittent Renewable Energy. IEEE T Energy Conver 19: 441-448.
[2]	Gerber A, Awad B, Ekanayake JB, et al. (2011) Operation of the 2030 GB Power Generation System. P ICE - Energy 164: 25-37. doi: 10.1680/ener.1000009
[3]	Imtiaz AM, Khan FH, Kamath H (July-Aug 2013) All-in-one Photovoltaic Power System: Features and Challenges Involved in Cell-Level Power Conversion in ac Solar Cells. IEEE Ind Appl Mag 19: 12-23.
[4]	Cheng Y, Qian C, Crow ML, et al. (2006) A Comparison of Diode-Clamped and Cascaded Multilevel Converters for a STATCOM with Energy Storage. IEEE T Ind Electron 53: 1512-1521. doi: 10.1109/TIE.2006.882022
[5]	Lai J, Peng FZ (1996) Multilevel Converters-A New Breed of Power Converters. IEEE T Ind Appl 32: 509-517. doi: 10.1109/28.502161
[6]	Maharjan L, Yamagishi T, Akagi H (2012) Active-Power Control of Individual Converter Cells for a Battery Energy Storage System Based on a Multilevel Cascade PWM Converter. IEEE T Power Electron 23: 1099-1107.
[7]	Maharjan L, Inoue S, Akagi H, et al. (2008) A Transformerless Battery Energy Storage System based on a Multilevel Cascade PWM Converter. IEEE Power Electronics Specialists Conference 4798-4804.
[8]	Tolbert LM, Peng FZ, Habetler TG (1999) Multilevel Converters for Large Electric Drives. IEEE T Ind Appl 35: 36-44. doi: 10.1109/28.740843
[9]	Khajehoddin SA, Bakhshai A, Jain P (2007) The Application of the Cascaded Multilevel Converters in Grid Connected Photovoltaic Systems. IEEE Canada Electrical Power Conference 296-301.
[10]	Chithra M, Dasan SGB (2011) Analysis of cascaded H Bridge Multilevel Inverters with Photovoltaic Arrays. International conference on Emerging Trends in Electrical and Computer Technology (ICETECT) 442-447.
[11]	Selvakumar S, Vinothkumar A, Vigneshkumar M (2014) An Efficient New Hybrid Cascaded Hbridge Inverter for Photovoltaic System. 2nd International Conference on Devices, Circuits and Systems (ICDCS) 1-6.
[12]	Van Ovrstraeten RJ, Mertens RP (1986) Physics, Technology and Use of Photovoltaic. Adam Hilger Ltd.

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