文章摘要
栗然,霍启敬,陈宇,等.基于非零和博弈的互联系统协同消纳风电调度法[J].电力系统自动化,2018,42(13):94-100. DOI: 10.7500/AEPS20171219002.
LI Ran,HUO Qijing,CHEN Yu, et al.Non-zero-sum Game Based Scheduling Method for Collaboratively Accommodating Wind Power by Interconnected Power Systems[J].Automation of Electric Power Systems,2018,42(13):94-100. DOI: 10.7500/AEPS20171219002.
基于非零和博弈的互联系统协同消纳风电调度法
Non-zero-sum Game Based Scheduling Method for Collaboratively Accommodating Wind Power by Interconnected Power Systems
DOI:10.7500/AEPS20171219002
关键词: 风电消纳  能源互联网  非零和博弈  调度
KeyWords: wind power accommodation  Energy Internet  non-zero-sum game  scheduling
上网日期:2018-06-04
基金项目:国家自然科学基金资助项目(51677071)
作者单位E-mail
栗然 华北电力大学电气与电子工程学院, 河北省保定市 071003  
霍启敬 华北电力大学电气与电子工程学院, 河北省保定市 071003 huoqjijinghd@163.com 
陈宇 华北电力大学电气与电子工程学院, 河北省保定市 071003  
孙志攀 华北电力大学电气与电子工程学院, 河北省保定市 071003  
摘要:
      实现可再生能源的大规模利用和共享是能源互联网的主要目的。以“开放、平等、协作、分享”互联网精神为主旨,文中针对输电网,提出了一种基于非零和博弈的多区域大规模风电协调消纳策略,使区域间以进一步分配的形式共享所创造的利益,提高其风电消纳积极性。首先,设置区域等效成本作为博弈因子,生成非零和博弈双成本矩阵;其次,结合离散粒子群算法和策略迭代博弈法找出纳什均衡点以及混合策略纳什均衡;最后,采用帕累托最优分析法确定谢林点。算例结果表明,所提出的博弈消纳策略在兼顾互联系统经济性的同时,可以实现区域间利益的合理分配,提高风电消纳区的积极性,进一步消纳大规模风电。
Abstract:
      The aim of Energy Internet is to realize the utilization and shearing of large-scale renewable energy. With the theme of “openness, equality, collaboration, and sharing”, this paper proposes a wide-area coordination and consumption strategy of large-scale wind power based on the non-zero-sum game. This strategy can make regions distribute the created benefits further, so that their enthusiasm for wind power consumption can be increased. Firstly, the equivalent cost of the region is set as the game factor to generate a non-zero-sum game dual-cost matrix. Secondly, the discrete particle swarm optimization algorithm and the strategy iterative game method are used to find out the Nash equilibrium point and the mixed strategy Nash equilibrium. Finally, the Pareto optimal analysis is used to determine the Schelling points. The result of the example shows that the proposed strategy can realize the rational distribution of interests among regions while balancing the economy of interconnected systems, so the enthusiasm of the wind power consumption area can be improved and large-scale wind power can be accommodated further.
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