The Research about the Trans-provincial Centralized Bidding Trading Market of East China Power Grid --II：Model Analysis

Bin Zou, Jie Fan, Xiao-Gang Li, Li-Bing Yang

East China Power Grid Co., Ltd. Shanghai, China.
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China.

DOI: 10.4236/eng.2013.51B022                

Abstract

In this paper a novel cost function based on the relationship between operation cost of unit and generation load rate is employed in an agent-based model of Trans-provincial Centralized Bidding Trading Market of East China Grid. Simulation results are compared to real data to prove that the model is correct. Further analysis on simulation results point out the way to achieve an all-win game for power market members: generation companies improve their average load rates of the units by selling their electricity in the market, which makes units' cost drop and settlement price stay lower than benchmark price. Consequently electricity-demand provinces saved expenses, and units increase their profits. In conclusion, the trans-provincial electricity market of East China Power Grid is a successive case which improves the efficiency of the electricity industry by market-oriented measures.

Keywords

Power Market; Agent-based Simulation; East China Grid; Trans-provincial Centralized Trade; Partial Electricity Competition

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	ZOU Bin, WANG Xiaojun, The Research about the Trans-provincial Centralized Bidding Trading Market of East China Power Grid --I：Empirical Analysis, Power and Energy Engineering Conference, 2013
[2]	Ross Baldick,UdiHelman,Benjamin F. Hobbs, Richard P. O’Neill,Design Of Efficient Generation Markets, Proceedings Of The IEEE, 2005, 93(11):1198-012.
[3]	National Electricity Regulatory Commission, The instruction that accelerating the development of the trans-provincial centralized bidding transactions in East China[R], 2009(in Chinese):http://www.ecerb.gov.cn/publicJsp/detail.JSP?inforId=8586
[4]	East China Electricity Regulatory Commission, East China Trans-provincial Centralized Auction Power Market Achieved Remarkable Success on Energy Saving and Emission Reduction[R], 2010(in Chinese):http://www.serc.gov.cn/jgdt/pcjg/2010004/t20100402_12861.htm
[5]	Eric Guerci, Mohammad Ali Rastegar, and SilvanoCincotti. Agent-based Modeling and Simulation of Competitive Wholesale Electricity Markets[J], Handbook of Power Systems II, Energy Systems, Springer-Verlag Berlin Heidelberg, 2010, Part3:241-286
[6]	Anke Weidlich, Daniel Veit. A critical survey of agent-based wholesale electricity market models[J], Energy Economics 2008, 30:1728–1759
[7]	Zou Bin, Yan Maosong, Xie Guangqian, Comparisons Among Pricing Methods in Pool-based Electricity Market by Agent-based Simulation Part One: Model and Algorithm [J], Automation of Electric Power Systems, 2004, 28(15):7-14.
[8]	Nicolaisen J, Petrov V, Tesfatsion L. Market Power and Efficiency in aComputational Electricity Market with Discriminatory Double-auction Pricing. IEEE Trans on Evolutionary Computation, 2001, 5(5): 504~523
[9]	Roth Alvin. Erev Ido. Learning in Extensive-form Games: Experiment Data and Simple Dynamic Model in the Intermediate Term. Game and Economic Behavior, 1995(8): 164~212
[10]	Yan Maosong, Modern Power Market and Electricity Value Equivalent Pricing System[M], Beijing: China Power Press, 2008(in Chinese)
[11]	LIU Guozhong, WEN Fushuan, XUE Yusheng. Impacts of Emissions Trading and Renewable Energy Sources Development Schemes on Electricity Market Operation[J]. Automation of Electric Power Systems, 2010, 34(7):21-25.
[12]	WANG Yeping, JING Zhaoxia, CHEN Haoyong1, et al. A Method for Designing Agent-based Electricity Market Simulation Experiments[J], Automation of Electric Power Systems, 2009,33(17):57-60,85.
[13]	Eric Guerci, StefanoIvaldi, SilvanoCincotti,Learning Agents in an Artificial Power Exchange: Tacit Collusion, Market Power and Efficiency of Two Double-auction Mechanisms[J]. Comput Econ, 2008, 32:73–98
[14]	AudunBotterud, Matthew R. Mahalik, Thomas D. Veselka,Heon-Su Ryu, Ki-Won Sohn,Multi-Agent Simulation of Generation Expansion in Electricity Markets[C]. Power Engineering Society General Meeting, IEEE,2007:1-8
[15]	AnkeWeidlich, Frank Sensfu?, Massimo GenoeseI, Daniel Veit, Studying the effects of CO2 emissions trading on the electricity market: A multi-agent-based approach [J]. Emissions Trading,Springer, 2008, Part B:91-101
[16]	ZHOU Hai-ming, WANG Hai-ning, SHI Shu-hong, et al, Development of Electricity Market Simulation System and Its Application[J]. Power System Technology, 2010, 34(1):117-121
[17]	TAN Zhong-fu, LI Li, WANG Jian-jun, et al. A Fuzzy Bayesian Learning Model in Agent-based Electric Power Bilateral Negotiation[J]. Proceedings of the CSEE, 2009, 29(7):106-113.
[18]	TIAN Jian-wei, HU Zhao-guang, WU Jun-yong, et al. Dynamic Economy and Power Simulation System Based on Multi-agent Modelling[J]. Proceedings of the CSEE[J], 2010, 30(7):85-91.
[19]	Liu Fu guo, Jiang xuexia, Li zhi, Investigation on Affects of generator Load on Coal Consumption Rate in Fossil Power Plant. Power System Engineering, 2008，24（4）：47-49.
[20]	Yan Maosong, Modern Power Market and Electricity Value Equivalent Pricing System[M], Beijing: China Power Press, 2008(in Chinese)