基于多方势博弈的综合能源系统运行优化

doi:10.12204/j.issn.1000-7229.2021.09.004

电力建设 ›› 2021, Vol. 42 ›› Issue (9): 32-40.doi: 10.12204/j.issn.1000-7229.2021.09.004

• 综合多元能源及信息技术的能源互联网规划与运行·栏目主持刘洋副教授、韩富佳博士· • 上一篇下一篇

基于多方势博弈的综合能源系统运行优化

高建伟¹^,², 梁鹏程¹^,², 高芳杰¹^,², 门慧娟¹^,², 郎宇彤¹^,²

1.华北电力大学经济与管理学院,北京市 102206
2.新能源电力与低碳发展研究北京市重点实验室(华北电力大学),北京市 102206

收稿日期:2020-02-02 出版日期:2021-09-01 发布日期:2021-09-02
通讯作者: 梁鹏程
作者简介:高建伟(1972),男,教授,博士生导师,主要研究方向为综合能源系统、风险管理与决策理论等|高芳杰(1993),女,博士研究生,主要研究方向为综合能源系统运行优化|门慧娟(1995),女,硕士研究生,主要研究方向为系统优化与决策|郎宇彤(1995),女,硕士研究生,主要研究方向为电力系统充裕性评估与决策。
基金资助:
北京市自然科学基金项目“多能融合战略下北京市电力系统充裕性评估及决策研究”(9202017)

Operation Optimization of Integrated Energy System Considering Multi-potential Game

GAO Jianwei¹^,², LIANG Pengcheng¹^,², GAO Fangjie¹^,², MEN Huijuan¹^,², LANG Yutong¹^,²

1. School of Economics and Management, North China Electric Power University, Beijing 102206, China
2. Beijing Key Laboratory of New Energy and Low-Carbon Development (North China Electric Power University), Beijing 102206,China

Received:2020-02-02 Online:2021-09-01 Published:2021-09-02
Contact: LIANG Pengcheng
Supported by:
Beijing Natural Science Foundation(9202017)

摘要/Abstract

摘要：

随着居民用能量的不断升高,综合需求响应已经成为保障上级能源网安全稳定、提高能源转换效率和挖掘需求侧潜力的重要手段。针对考虑综合需求响应的综合能源系统中各方参与者最优决策问题,文章基于势博弈理论建立了以各方收益最大为目标的运行优化模型。模型在考虑电、热、冷多能互补的前提下,引入综合能源系统运营商并和用户、上级能源网进行交互。构建了模型对应的势函数,将求解模型的纳什均衡转化为求解势函数最优值,并采用分布式优化算法求解。仿真模拟结果表明,所建模型可以较快求得纳什均衡解,在用户利益不受损的前提下增加了运营商的收益,削减了峰谷差,提高了电网稳定性。

关键词: 综合需求响应, 多能互补, 综合能源系统, 势博弈, 分布式优化

Abstract:

With the continuous increase of energy used by residents, integrated demand response (IDR) has become an important means to improve the safety and stability of the superior energy network and to improve the energy conversion efficiency and exploit the potential of the demand side. In order to solve the problem of optimal decision of all participants in an integrated energy system (IES) considering the IDR, this paper builds an operation optimization model based on the potential game theory with the objective function of maximizing revenue. In this model, multi-energy supplement is considered and the IES operator is introduced. The operator interacts with both the user and the superior energy network. The potential function corresponding to the model is constructed, and the problem of finding the optimal solution of the model is transformed into the problem of finding the maximum value of the potential function. In this paper, distributed optimization algorithm is used to solve the model. The simulation results show that the Nash equilibrium solution can be obtained quickly. The operator's income can be also increased, the peak-valley difference can be reduced, and the stability of the power grid can be also improved without reducing the user's benefit.

Key words: integrated demand response (IDR), multi-energy supplement, integrated energy system (IES), potential game, distributed optimization

中图分类号:

TM73

高建伟, 梁鹏程, 高芳杰, 门慧娟, 郎宇彤. 基于多方势博弈的综合能源系统运行优化[J]. 电力建设, 2021, 42(9): 32-40.

GAO Jianwei, LIANG Pengcheng, GAO Fangjie, MEN Huijuan, LANG Yutong. Operation Optimization of Integrated Energy System Considering Multi-potential Game[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(9): 32-40.

图/表 9

图1 社区综合能源系统结构

Fig.1 Community IES structure diagram

图2 算法流程

Fig.2 Flow chart of the algorithm

表1 居民用户柔性负荷相关设备参数

Table 1 Equipment parameters related to flexible load for residential consumers

表2 IES各设备相关参数

Table 2 Related parameters of each device in IES

图3 参与综合需求响应前后的负荷

Fig.3 Load before and after participating in integrated demand response

图4 IESO1产(耗)电设备功率

Fig.4 Eclectic power production (consumption) of each equipment in IESO1

图5 IESO1产(耗)热设备功率

Fig.5 Heat production (consumption) of each equipment in IESO1

图6 IESO1产(耗)冷设备功率

Fig.6 Production (consumption) of cooling energy of each equipment in IESO1

表3 博弈过程中各方利益

Table 3 Interests of all parties in the game

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基于多方势博弈的综合能源系统运行优化

Operation Optimization of Integrated Energy System Considering Multi-potential Game

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