Optimal operation of integrated energy microgrid based on leader-follower game and electricity and heat demand response under user-side limited rationality

被引:0
作者
Shuai X. [1 ]
Wang X. [1 ]
Wu X. [1 ]
机构
[1] School of Electrical Engineering, Xi'an Jiaotong University, Xi'an
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 11期
基金
中国国家自然科学基金;
关键词
Demand res-ponse; Electric vehicles; Integrated energy microgrid; Leader-follower game; Limited rationality; Optimal operation;
D O I
10.16081/j.epae.202109017
中图分类号
学科分类号
摘要
With the increasing competition of various agents in integrated energy microgrid, it is of the great significance to study the optimal operation of microgrid under multi-stakeholders. First of all, a leader-follower game model is presented, in which the microgrid operators act as leaders, while electric vehicle users act as followers. A microgrid framework considering time-of-use electricity prices, electricity and heat demand response, electric vehicles and the operation mode of microgrid operator, is constructed. Secondly, the "power determined by heat" mode is proposed, which can overcome the shortcomings of the traditional "heat determined by power" mode. At the same time, the profit model of microgrid operator under these two modes is proposed. Then, a user-side limited rationality purchase energy selection model is proposed, which considers electric heating equipment, electric vehicles and demand response. Based on this, a user-side profit model is developed. The proposed model is represented by the leader-follower game framework, and the existence and uniqueness of Stackelberg equilibrium solution are proved. Finally, a simulation test is carried out using genetic algorithm and CPLEX solver. Simulative results show that, the "following-electric-load" mode increases the profits of microgrid operator and users simultaneously under the user-side limited rationality model. At the same time, the proposed purchase energy selection model effectively restrains the market power exercised by microgrid operator. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:25 / 31
页数:6
相关论文
共 20 条
[1]  
YANG Xinfa, SU Jian, Zhipeng LU, Et al., Overview on micro-grid technology, Proceedings of the CSEE, 34, 1, pp. 57-70, (2014)
[2]  
MA Yiwei, YANG Ping, WANG Yuewu, Et al., Typical characteristics and key technologies of microgrid, Automation of Electric Power Systems, 39, 8, pp. 168-175, (2015)
[3]  
WANG Chengshan, LI Peng, Development and challenges of distributed generation, the micro-grid and smart distribution system, Automation of Electric Power Systems, 34, 2, pp. 10-14, (2010)
[4]  
LU Mingxiang, Research on the construction of competitive electricity market based on the separation of network and sales, Industrial Economy Research, 1, pp. 41-48, (2004)
[5]  
MA Li, LIU Nian, ZHANG Jianhua, Et al., Distributed energy management of community energy internet based on leader-followers game, Power System Technology, 40, 12, pp. 3655-3662, (2016)
[6]  
WU Fubao, LIU Xiaofeng, SUN Yiqian, Et al., Game optimization strategy for mutiple parks based on combined cooling heating and power, Automation of Electric Power Systems, 42, 13, pp. 68-75, (2018)
[7]  
LIU Nian, ZHAO Jing, WANG Jie, Et al., A trading model of PV microgrid cluster based on cooperative game theory, Transactions of China Electrotechnical Society, 33, 8, pp. 1903-1910, (2018)
[8]  
SUN Yuntao, SONG Yiqun, YAO Liangzhong, Et al., Study on power consumers' choices of electricity retailers in electricity selling market, Power System Technology, 42, 4, pp. 1124-1131, (2018)
[9]  
LU Qiang, CHEN Laijun, MEI Shengwei, Et al., Typical applications and prospects of game theory in power system, Proceedings of the CSEE, 34, 29, pp. 5009-5017, (2014)
[10]  
WEI W, LIU F, MEI S, Et al., Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty[J], IEEE Transactions on Smart Grid, 6, 3, pp. 1364-1374, (2015)