基于非合作博弈的风-光-氢微电网容量优化配置
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TM743

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国家自然科学基金资助项目(52067021);新疆维吾尔自治区重点研发计划资助项目(2020B02001)


Optimal capacity configuration of wind-photovoltaic-hydrogen microgrid based on non-cooperative game theory
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    摘要:

    多分布式电源参与的混合微电网容量优化配置是微电网设计的一个重要环节,文中针对风电场、光伏电站和制氢-储氢-发电一体化微电网系统的容量配置问题进行研究。首先,系统设立了风电、光伏和制氢-储氢-发电系统3个投资方,并以各投资方收益最大化为优化目标,建立基于非合作博弈的风-光-氢微电网容量优化配置模型;然后,考虑各博弈参与者的投资成本、运维成本、购售电成本、弃风弃光惩罚费用和负荷中断惩罚费用等经济因素,利用粒子群算法对各博弈参与者的容量配置进行单独优化,确定各博弈参与者收益最大化的Nash均衡点;最后,采用新疆某地区典型月的风速和光照强度数据对微电网容量配置进行算例分析。结果表明该模型能够在月综合成本相对较低的前提下保证供电的可靠性,实现了微电网系统容量的合理配置。

    Abstract:

    The capacity optimization and allocation of hybrid microgrid with multiple distributed generations is an important aspect of microgrid design. The capacity allocation problem of the integrated microgrid system involving wind farm,photovoltaic power station and hydrogen production-hydrogen storage-power generation system is studied in this paper. Firstly,three investors of wind power,photovoltaic and hydrogen generation-hydrogen storage-power generation system are established,and the optimal allocation model of wind-photovoltaic-hydrogen microgrid capacity based on non-cooperative game is established with the goal of maximizing the profit of each investor. Secondly,considering economic factors such as investment cost,operation and maintenance cost,power purchase and sale cost,wind and light abandonment penalties and load interruption penalties of each game player,the capacity allocation of participants in the game is optimized individually using the particle swarm algorithm. Meanwhile,the Nash equilibrium point that maximizes the revenue of each game player is determined. Finally,the wind speed and light intensity data of a typical month in the region of Xinjiang is used for the arithmetic analysis of the microgrid capacity configuration. The results show that the model can ensure the reliability of power supply with relatively low monthly integrated cost and realize the reasonable allocation of microgrid system capacity.

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希望·阿不都瓦依提,吕海鹏,晁勤.基于非合作博弈的风-光-氢微电网容量优化配置[J].电力工程技术,2022,41(2):110-118

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  • 收稿日期:2021-11-17
  • 最后修改日期:2022-02-02
  • 录用日期:2021-08-06
  • 在线发布日期: 2022-03-24
  • 出版日期: 2022-03-28
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