Optimal Time-of-use Pricing for Renewable Energy-powered Microgrids:A Multi-agent Evolutionary Game Theory-based Approach

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外文摘要：While price schedules can help improve the eco-nomic efficiency of renewable energy-powered microgrids,time-of-use(TOU)pricing has been identified as an effective way for microgrid development,which is presently limited by its high costs.In this study,we propose an evolutionary game theoretic model to explore optimal TOU pricing for development of renewable energy-powered microgrids by applying a multi-agent system,that comprises a government agent,local utility company agent,and different types of consumer agents.In the proposed model,we design objective functions for the company and the consumers and obtain a Nash equilibrium using backward induction.Two pricing strategies,namely,the TOU seasonal pricing and TOU monthly pricing,are evaluated and compared with traditional fixed pricing.The numerical results demonstrate that TOU schedules have significant potential for development of renewable energy-powered microgrids and are recommended for an electric company to replace traditional fixed pricing.Additionally,TOU monthly pricing is more suitable than TOU seasonal pricing for microgrid development.

外文关键词：

Game theorymicrogridmulti-agent systemrenewable energytime-of-use pricing

作者：

Yu Zeng、Yinliang Xu、Xinwei Shen、Hongbin Sun

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作者单位：

Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School,Tsinghua University,Shen-zhen 518055,China

Department of Electrical Engineering,Tsinghua Univer-sity,Beijing 100084,China

基金：

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaShenzhen Science and Technology Innovation Program

项目编号：

5227710751977115WDZC20220808143010001

出版年：

2024

DOI：

10.17775/CSEEJPES.2021.02730

中国电机工程学会电力与能源系统学报(英文版)

中国电机工程学会

中国电机工程学会电力与能源系统学报(英文版)

CSTPCDEI

ISSN：2096-0042

年,卷(期)：2024.10(1)

参考文献量40