基于演化博弈的用户综合用能行为决策方法研究
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(三峡大学电气与新能源学院,湖北 宜昌 443002)

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黄悦华(1972—),男,博士,教授,研究方向为智能电网,新能源微电网、综合能源系统;E-mail: hyh@ctgu.edu.cn 王艺洁(1995—),女,硕士研究生,研究方向为综合能源系统优化调度;E-mail: 1067437419@qq.com 杨 楠(1987—),男,通信作者,博士,副教授,研究方向为电力系统运行与控制、电力系统规划,电力系统的机组组合,主动配电网。E-mail: ynyyayy@ctgu.edu.cn

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国家自然科学基金项目资助(51607104)


Research on a decision method of a user comprehensive energy use behavior based on an evolutionary game
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(College of Electrical Engineering and New Energy, Three Gorges University, Yichang 443002, China)

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    摘要:

    随着综合能源市场中人们的能源消费形式日趋多样化,如何根据用户用能需求的变化特征分析用户群体的综合用能行为决策是目前亟需解决的重要问题。针对该问题,提出了一种基于演化博弈的用户综合用能行为决策方法。首先,考虑居民、大工业以及商业用户在内的三类用户,基于主客观组合赋权法构建了一种计及用户用能特性和用户舒适度因素的效用模型。在此基础上,基于演化博弈方法提出用以描述用户用能选择动态过程的博弈模型。最后,利用分布式迭代求解方法对模型进行求解。基于仿真算例的结果验证了所提方法的正确性和有效性。

    Abstract:

    With the increasing diversification of human energy use forms in the integrated energy market, how to analyze the decision of comprehensive energy use behavior for different user groups according to the changing characteristics of their energy demand is an important issue. To solve this problem, a decision method of a user’s comprehensive energy use behavior based on an evolutionary game is proposed. First, considering three types of users that include residents, large industry, and business users, a utility model which takes into account energy use characteristics of users and user comfort factors is constructed based on a subjective and objective combination weighting method. Then, a game model is proposed to describe the dynamic process of user energy selection based on the evolutionary game method. Finally, the model is solved by a distributed iterative method. The correctness and validity of the proposed method are verified by the simulation results. This work is supported by National Natural Science Foundation of China (No. 51607104).

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黄悦华,王艺洁,杨 楠,等.基于演化博弈的用户综合用能行为决策方法研究[J].电力系统保护与控制,2020,48(23):21-29.[HUANG Yuehua, WANG Yijie, YANG Nan, et al. Research on a decision method of a user comprehensive energy use behavior based on an evolutionary game[J]. Power System Protection and Control,2020,V48(23):21-29]

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  • 收稿日期:2020-05-08
  • 最后修改日期:2020-07-30
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  • 在线发布日期: 2020-11-30
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