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碳约束下基于双重博弈的电力零售商售电价格决策优化

李方姝 余昆 陈星莺 华昊辰

中国电力2024,Vol.57Issue(5):126-136,11.
中国电力2024,Vol.57Issue(5):126-136,11.DOI:10.11930/j.issn.1004-9649.202309065

碳约束下基于双重博弈的电力零售商售电价格决策优化

Price Decision Optimization for Electricity Retailers Based on Dual Game under Carbon Constraints

李方姝 1余昆 1陈星莺 1华昊辰1

作者信息

  • 1. 河海大学能源与电气学院,江苏南京 210098
  • 折叠

摘要

Abstract

Under carbon constraints,multiple retailers competing for sale of electricity and multiple users purchasing electricity in the market bring challenges to electricity retailers in setting their selling price to increase their own profits.Thereby,a dual game price decision optimization model for multiple electricity retailers competing for sale of electricity and multiple users purchasing electricity is proposed to address the issue of retail electricity pricing under carbon constraints.Firstly,a decision-making model for each market participant is established.Secondly,a dual game framework is established for electricity retailers,in which non-cooperative games are formed among electricity retailers,and master-slave games are formed between retailers and users.And then,the loop nested solver IPOPT is used to solve the dual game problem of retailers.Finally,the proposed model is validated and analyzed through simulation examples.The simulation shows that the retailers can realize their profit maximization through the proposed model to optimize reasonable electricity selling price,and at the same time the users can obtain the optimal electricity purchase strategy through the game model to improve their comprehensive satisfaction of electricity consumption.

关键词

电力零售商/双重博弈/碳约束/价格决策/需求响应

Key words

electricity retailers/dual game/carbon constraints/price decision/demand response

引用本文复制引用

李方姝,余昆,陈星莺,华昊辰..碳约束下基于双重博弈的电力零售商售电价格决策优化[J].中国电力,2024,57(5):126-136,11.

基金项目

国家自然科学基金资助项目(与电网友好互动的大规模楼宇群综合能源系统协同优化运行,U22B20112). This work is supported by National Natural Science Foundation of China(Coordinated Optimal Operation of Integrated Energy System for Large-Scale Building Clusters Considering Friendly Interaction with Power Grid,No.U22B20112). (与电网友好互动的大规模楼宇群综合能源系统协同优化运行,U22B20112)

中国电力

OA北大核心CSTPCD

1004-9649

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