The Business Optimization Analysis of the Virtual Power Plant Based on the Large-Scale BESS System

Article Preview

Abstract:

In the new energy power generation process, because it’s difficult to balance the dynamic energy and the system operation cost is high, the paper puts forward the basic structure of the commercial virtual power plant based on BESS system, then discuss the proper run mode of the virtual power plant to maximize the total revenue. On the basis of the electricity price of the Chinese typical areas and the cost of the BESS system, the paper builds the mathematical model of the economic benefits of the virtual power plant based on BESS system. This paper also builds the regulation optimization simulation model of the virtual power plant based on the aim of maximizing the overall profit of the energy supply and demand sides, and calculates the dynamic balance elements and optimization optimal power output value based on optimization algorithm. The simulation results show that using the virtual power plant based on BESS system to peak load shifting and control frequency is feasible in the economy.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

1524-1533

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Elaheh Mashhour, Seyed Masoud Moghaddas-Tafreshi. Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26(2): 949-956.

DOI: 10.1109/tpwrs.2010.2070884

Google Scholar

[2] Nerea Ruiz, Iñigo Cobelo, and José Oyarzabal. A Direct Load Control Model for Virtual Power Plant Management [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24(2): 959-966.

DOI: 10.1109/tpwrs.2009.2016607

Google Scholar

[3] Haiying Li, Yuzeng Li, Zuyi Li. A Multiperiod Energy Acquisition Model for a Distribution Company with Distributed Generation and Interruptible Load [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22(2): 588-596.

DOI: 10.1109/tpwrs.2007.894862

Google Scholar

[4] P. Lombardi, M. Powalko, K. Rudion. Optimal operation of a virtual power plant[C]. Power & Energy Society General Meeting, Calgary, Canada, 2009: 1-6.

DOI: 10.1109/pes.2009.5275995

Google Scholar

[5] Elaheh Mashhour, Moghaddas-Tafreshi. A Review on Operation of Micro Grids and Virtual Power Plants in the Power Markets [C]. 2009 2nd International Conference on Adaptive Science & Technology, 2009: 273-277.

DOI: 10.1109/icastech.2009.5409714

Google Scholar

[6] Marko Zdrilic, Hrvoje Pandzic, Igor Kuzle. The Mixed-Integer Linear Optimization Model of Virtual Power Plant Operation [C]. 2011 8th International Conference on the European Energy Market (EEM), Zagreb, Croatia, 2011: 467-471.

DOI: 10.1109/eem.2011.5953056

Google Scholar

[7] C. Klessmann, C. Nabe, K. Burges. Pros and cons of exposing renewables to electricity market risks-A comparison of the market integration approaches in Germany, Spain, and the UK[J]. Energy Policy, 2008, 36(10): 3646-3661.

DOI: 10.1016/j.enpol.2008.06.022

Google Scholar

[8] E. Mashhour, S.M. Moghaddas-Tafreshi. The Opportunities for Future Virtual Power Plant in the Power Market, a View Point[C]. 2009 International Conference on Clean Electrical Power, 2009: 448-452.

DOI: 10.1109/iccep.2009.5212014

Google Scholar

[9] H. Morais, M. Cardoso, L. Castanheira, Z. Vale, and I. Praca. A decision-support simulation tool for virtual power producers[C]. IEEE International Conference on Future Power Systems, Amsterdam (Netherlands), 2005: 1-6.

DOI: 10.1109/fps.2005.204289

Google Scholar

[10] D. Pudjianto, C. Ramsay, and G. Strbac. Virtual power plant and system integration of distributed energy resources [J]. IET Renewable Power Generation, 2007, 1: 10-16.

DOI: 10.1049/iet-rpg:20060023

Google Scholar

[11] D. Pudjianto, C. Ramsay, G. Strbac. Virtual power plant and system integration of distributed energy resources [J]. IET Renew. Power Gener, 2007, 1(1): 10–16.

DOI: 10.1049/iet-rpg:20060023

Google Scholar