-
AIMS Energy, 2017, 5(6): 887-911. doi: 10.3934/energy.2017.6.887.
Research article Topical Section
-
Export file:
Format
- RIS(for EndNote,Reference Manager,ProCite)
- BibTex
- Text
Content
- Citation Only
- Citation and Abstract
A virtual power plant model for time-driven power flow calculations
Departament d’Enginyeria Electrica, Universitat Politecnica de Catalunya, Av. Diagonal 647, 08028 Barcelona, Spain
Received: , Accepted: , Published:
Topical Section: Smart Grids and Networks
Keywords: distribution system; energy resource; energy storage system; OpenDSS; photovoltaic generation; power flow; virtual power plant; wind generation
Citation: Gerardo Guerra, Juan A. Martinez Velasco. A virtual power plant model for time-driven power flow calculations. AIMS Energy, 2017, 5(6): 887-911. doi: 10.3934/energy.2017.6.887
References:
- 1. Willis HL, Scott WG (2000) Distributed power generation. Planning and evaluation. CRC Press.
-
2. Ackermann T, Andersson G, Söder L (2001) Distributed generation: a definition. Electr Pow Syst Res 57: 195–204.
-
3. Mahmoud PHA, Huy PD, Ramachandaramurthy VK (2017) A review of the optimal allocation of distributed generation: objectives, constraints, methods, and algorithms. Renew Sust Energ Rev 75: 293–312.
- 4. Sandia National Laboratories and NRECA (2015) DOE/EPRI Electricity Storage Handbook.
-
5. Li X, Hui D, Lai X (2013) Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations. IEEE T Sustain Energ 4: 464–473.
- 6. Grillo S, Marinelli M, Massucco S, et al. (2012) Optimal management strategy of a battery-based storage system to improve renewable energy integration in distribution networks. IEEE T Smart Grid 3: 950–958.
-
7. Katsanevakis M, Stewart RA, Lu J (2017) Aggregated applications and benefits of energy storage systems with application-specific control methods: a review. Renew Sust Energ Rev 75: 719–741.
-
8. Etherden N, Vyatkin V, Bollen MHJ (2016) Virtual power plant for grid services using IEC 61850. IEEE T Ind Inform 12: 437–447.
- 9. International Electrotechnical Commission (2011) Electrical Energy Storage. Available from: https://www.mendeley.com/research-papers/electrical-energy-storage-white-paper-3/.
- 10. Dugan RC (2016) Reference Guide. The Open Distribution System Simulator (OpenDSS). EPRI.
-
11. Pudjianto D, Ramsay C, Strbac G (2007) Virtual power plant and system integration of distributed energy resources. Iet Renew Power Gen 1: 10–16.
- 12. Ghavidel S, Li L, Aghaei J, et al. (2016) A review on the virtual power plant: Components and operation systems. IEEE International Conference on Power System Technology. IEEE, 1–6.
-
13. Kolenc M, Nemček P, Gutschi C, et al. (2017) Performance evaluation of a virtual power plant communication system providing ancillary services. Electr Pow Syst Res 149: 46–54.
- 14. Martínez-Velasco JA, Guerra G (2015) Analysis of large distribution networks with distributed energy resources. Ingeniare 23: 594–608.
- 15. Dugan RC, Taylor JA, Montenegro D (2017) Energy storage modeling for distribution planning. IEEE T Ind Appl 53: 954–962.
- 16. Chassin DP (2013) Electrical load modeling and simulation. In: Khaitan SK, Gupta A, editors, High Performance Computing in Power and Energy Systems, Berlin: Springer.
-
17. Guerra G, Martinez-Velasco JA (2017) A solid state transformer model for power flow calculations. Int J Elec Power 89: 40–51.
-
18. Farzin H, Fotuhi-Firuzabad M, Moeini-Aghtaie M (2017) A stochastic multi-objective framework for optimal scheduling of energy storage systems in microgrids. IEEE T Smart Grid 8: 117–127.
-
19. Levron Y, Shmilovitz D (2012) Power systems' optimal peak-shaving applying secondary storage. Electr Pow Syst Res 89: 80–84.
-
20. Jayasekara N, Wolfs P, Masoum MAS (2014) An optimal management strategy for distributed storages in distribution networks with high penetrations of PV. Electr Pow Syst Res 116: 147–157.
-
21. Meirinhos JL, Rua DE, Carvalho LM, et al. (2017) Multi-temporal optimal power flow for voltage control in MV networks using distributed energy resources. Electr Pow Syst Res 146: 25–32.
- 22. Hejazi H, Mohsenian-Rad H (2016) Energy storage planning in active distribution grids: a chance-constrained optimization with non-parametric probability functions. IEEE T Smart Grid: 1–13.
- 23. Silvestre MLD, Graditi G, Ippolito MG, et al. (2011) Robust multi-objective optimal dispatch of distributed energy resources in micro-grids. Power Tech, 2011 IEEE Trondheim. IEEE, 1–5.
-
24. Agamah SU, Ekonomou L (2016) Peak demand shaving and load-levelling using a combination of bin packing and subset sum algorithms for electrical energy storage system scheduling. Iet Sci Meas Technol 10: 477–484.
- 25. Qin J, Sevlian R, Varodayan D, et al. (2012) Optimal electric energy storage operation. 2012 IEEE Power and Energy Society General Meeting, 1–6.
- 26. Pandzic H, Kuzle I (2015) Energy storage operation in the day-ahead electricity market. European Energy Market. IEEE, 1–6.
- 27. Lazaroiu GC, Dumbrava V, Balaban G, et al. (2016) Stochastic optimization of microgrids with renewable and storage energy systems. IEEE, International Conference on Environment and Electrical Engineering.
-
28. Yeh EC, Venkata SS, Sumic Z (1996) Improved distribution system planning using computational evolution. IEEE T Power Syst 11: 668–674.
- 29. Konfrst Z (2004) Parallel genetic algorithms: advances, computing trends, applications and perspectives. Parallel and Distributed Processing Symposium. Proceedings. International. IEEE, 162.
- 30. Buehren M. MATLAB Library for Parallel Processing on Multiple Cores. Available from http://www.mathworks.com.
- 31. Kieny C, Berseneff B, Hadjsaid N, et al. (2009) On the concept and the interest of Virtual Power plant: Some results from the European project FENIX. Power & Energy Society General Meeting, IEEE, 1–6.
This article has been cited by:
- 1. Gerardo Guerra, Juan A. Martinez-Velasco, A review of tools, models and techniques for long-term assessment of distribution systems using OpenDSS and parallel computing, AIMS Energy, 2018, 6, 5, 764, 10.3934/energy.2018.5.764
Reader Comments
Copyright Info: 2017, Juan A. Martinez Velasco, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)
Associated material
Metrics
Other articles by authors
Related pages
Tools
your name: * your email: *