A Bidding Strategy Based on Differential Evolution Game for Generation Side in Power Grid Integrated With Renewable Energy Resources

被引：0
|
作者：
Peng C. [1 ]
Qian K. [2 ]
Yan J. [3 ]
机构：
[1] School of Electrical & Automation Engineering, East China Jiaotong University, Nanchang, 330013, Jiangxi Province
[2] Jiangxi Machinery & Electric Equipment Tendering Co., Ltd., Nanchang, 330046, Jiangxi Province
[3] State Grid Sanmenxia Power Supply Company, Sanmenxia, 472000, Henan Province
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Bidding strategy; Differential evolution; Electricity market; Evolutionary game; Generation side;
D O I：
10.13335/j.1000-3673.pst.2018.2084
中图分类号：
学科分类号：
摘要：
Large number of renewable energy resources integrated in smart grid and its inherent uncertainty lead to decrease and high volatility of the demand margin of conventional energy resources in electricity market, raising higher requirements of reliability for the bidding strategy for generation side. In this paper, evolutionary game theory is applied to the bidding strategy of generators, so that a stable optimal bidding strategy can be obtained through dynamic evolution in uncertain environment. Because the uncertainty of renewable energy output can lead to the replicating dynamic equation of evolutionary game difficult to solve, a compound differential evolution game algorithm combining evolutionary game theory with composite differential evolution is proposed to achieve dynamic evolution game based generating and bidding of generators. Finally, by comparing with conventional bidding strategies, superiority of the proposed differential evolution game strategy is verified. © 2019, Power System Technology Press. All right reserved.
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页码：2002 / 2009
页数：7
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