基于非合作博弈的冷热电联供微能源网运行策略优化

LIN Kaijun

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基于非合作博弈的冷热电联供微能源网运行策略优化

更新时间：2025-08-13

- 基于非合作博弈的冷热电联供微能源网运行策略优化
- Automation of Electric Power Systems Vol. 42, Issue 6, Pages: 25-32(2018)
- 作者机构：
  
  北京交通大学电气工程学院,北京市,100044
- 作者简介：
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- Published：2018
- 稿件说明：
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LIN Kaijun. [J]. Automation of electric power systems, 2018, 42(6): 25-32.
DOI：

LIN Kaijun. [J]. Automation of electric power systems, 2018, 42(6): 25-32. DOI：

摘要

提出了基于非合作博弈的冷热电联供微能源网优化的一般模型与求解方法。基于博弈论，建立了微能源网与用户的博弈模型；证明了该博弈纳什均衡的存在性，并提出了相应的求解流程；利用模糊双目标算法对用户的支付费用和不满意度进行归一化处理，在博弈模式下用户调整自身用电策略，微能源网根据用户的负荷计划调整电价，优化冷热电出力。以某小区夏季典型日负荷与冬季典型日负荷为例，对博弈模型进行求解。仿真结果表明，微能源网在所提出的博弈模式下能更好地消纳可再生能源，实现个体理性情况下的能源最优，且用户能在兼顾用能体验的前提下实现经济最优。

Abstract

The general model and solution algorithm for the optimization of micro-energy grid with combined cooling

heating and power system are proposed by using the non-cooperative game. Based on the game theory

the game model between micro-energy grid and user is established

which proves that the game has the Nash equilibrium(NE)and the simulation method based on the definition of NE is put forward. The fuzzy bi-objective algorithm is used to normalize the payment and the user dissatisfaction. In the game

the user adjusts the power consumption strategy

and the micro-energy grid adjusts the electricity price according to the user's load plan and optimizes the cooling

heating and power loads. The typical daily loads of a community in summer and in winter are taken as examples to solve the game model. The simulation results indicate that the micro-energy grid has better consumption capacity of renewable energy in the proposed game mode and realizes the energy optimization via the rational action of micro-energy grid individuals

and the user can achieve economic optimality with considering the experience of using energy.

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