引用本文: | 李晅,马瑞,罗阳.基于Stackelberg博弈的微网价格型需求响应及供电定价优化[J].电力系统保护与控制,2017,45(5):88-95.[点击复制] |
LI Xuan,MA Rui,LUO Yang.Price-based demand response of micro-grid and optimal pricing strategy based on Stackelberg game[J].Power System Protection and Control,2017,45(5):88-95[点击复制] |
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摘要: |
智能电网背景下,微网的发展赋予其自身主动响应特性。目前基于价格弹性理论的价格响应模型未能有效衡量微网与供电公司间的主动博弈行为,为此提出基于Stackelberg博弈的微网价格响应及供电定价优化方法。基于模糊最大满意度法建立了兼顾用电成本和用电舒适度的微网用户效用函数,从而构建基于1-n型Stackelberg博弈的微网价格响应及供电定价优化模型,采用基于遗传算法的逆向归纳法求解。算例仿真求得供电公司与三个不同响应程度微网的Stackelberg博弈均衡点,分析对应供电公司电价优化策略和各微网响应特征,验证了所提方法的可行性,为预测评估微网主动响应特性以实现供电公司科学优化定价提供理论参考。 |
关键词: 微电网 需求响应 Stackelberg博弈 遗传算法 模糊 |
DOI:10.7667/PSPC160407 |
投稿时间:2016-03-24修订日期:2016-07-13 |
基金项目:国家自然科学基金项目(51277015);湖南省教育厅“创新平台开放基金”项目(54291) |
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Price-based demand response of micro-grid and optimal pricing strategy based on Stackelberg game |
LI Xuan,MA Rui,LUO Yang |
(School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114, China;State Grid Yueyang Power Supply Company, Yueyang 414022, China) |
Abstract: |
In the context of smart grid, development of micro-grid endows itself with demand response (DR) character. Current price-based DR model based on elasticity price theory is not effective in evaluating the active game behavior between micro-grid and the power supply company. To this end, this paper proposes price-based DR model of micro-grid and optimal pricing strategy based on Stackelberg game. Cost and consumption comfort level are together considered to build benefit function of micro-grid based on fuzzy satisfaction-maximizing method. Then price-based DR and optimal pricing model are proposed based on 1-n Stackelberg game, and solved by genetic algorithm (GA) based backward induction. The simulation obtains the Stackelberg game balance point of the model of power supply company and three different micro-grids. Corresponding pricing strategy and micro-grid’s response characteristics are analyzed, proving the feasibility of the proposed method, and providing theoretical reference for prediction and estimation of micro-grid’s response characteristic to help the power supply company scientifically optimize electricity price. This work is supported by National Natural Science Foundation of China (No. 51277015) and Education Department Innovation Platform Open Foundation of Hunan Province (No. 54291). |
Key words: micro-grid demand response Stackelberg game genetic algorithm fuzziness |