包含多投资主体的综合能源系统容量配置
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南京信息工程大学自动化学院

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TM 933

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国家自然科学基金资助项目(71503136)


Capacity allocation of integrated energy system involving multiple investors
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College of Automation Engineering,Nanjing University of Information Science Technology

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Supported by the National Natural Science Foundation of China(71503136)

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    摘要:

    包含风电、光伏等新能源的综合能源系统以实现电、热、冷等多能互补供能而备受关注。当多个投资者作为独立主体参与综合能源系统运营时,如何对各设备进行合理的容量配置,以更好地消纳新能源和实现各投资主体的利益最大化,是值得关注的问题。本文基于博弈论的纳什均衡原理,针对由风电设备、光伏设备以及冷热电联供设备3个投资者组成的综合能源系统,构建容量配置博弈模型,并采用粒子群算法进行求解。在非博弈、非合作博弈以及合作博弈3种不同场景的对比分析表明,在合作博弈场景下,各方投资者收益相对最大、容量配置相对最小,系统具有最大的整体收益,各参与者有明显的合作可能性。这为多方参与供能市场提供了解决思路。

    Abstract:

    Integrated energy system including wind power, photovoltaic and other new energy to achieve electricity, heat, cold and other complementary energy supply has attracted much attention. When multiple investors participate in the operation of integrated energy system as independent subjects, it is worth paying attention to how to rationally allocate the capacity of each equipment to better absorb new energy and maximize the interests of each investor. Based on the Nash equilibrium principle of game theory, this paper establishes a capacity allocation game model for the comprehensive energy system composed of wind power equipment, photovoltaic equipment and cogeneration equipment, and uses particle swarm optimization algorithm to solve it. The comparative analysis of the three different scenarios of non-game, non-cooperative game and cooperative game shows that in the cooperative game scenario, the investor's return is relatively the largest, the capacity allocation is relatively the smallest, the system has the largest overall return, and each participant has the obvious possibility of cooperation. This provides a solution for multi-party participation in the energy supply market.

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历史
  • 收稿日期:2022-02-23
  • 最后修改日期:2022-04-29
  • 录用日期:2022-06-01
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