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基于Stackelberg博弈的光伏用户群优化定价模型

王程 刘念 成敏杨 马丽

电力系统自动化2017,Vol.41Issue(12):146-153,8.
电力系统自动化2017,Vol.41Issue(12):146-153,8.DOI:10.7500/AEPS20160725001

基于Stackelberg博弈的光伏用户群优化定价模型

Stackelberg Game Based Optimal Pricing Model for Photovoltaic Prosumer Cluster

王程 1刘念 1成敏杨 1马丽1

作者信息

  • 1. 新能源电力系统国家重点实验室(华北电力大学), 北京市 102206
  • 折叠

摘要

Abstract

In the photovoltaic (PV) prosumer cluster composed by multi-entities, there is PV power sharing between prosumers.The sharing level is pretty low due to the distributed PV feed-in-tariff policy at present.To enhance the sharing level, a multi-buyer and multi-seller structure is built in PV prosumer cluster according to prosumers' load characteristics.PV prosumer cluster operator is the leader, and the internal price is settled to maximize the profit considering the utility of prosumers and the distributed PV feed-in-tariff policy in China.Prosumers act as follower and will maximize their utility by response to the internal price.The demand response (DR) model based on Stackelberg game is built according to the behavioral characteristics of operator and prosumers, and the equilibrium of this game is proved to be exist and unique.It can be demonstrated that operator's profit and prosumers' utility can be increased by internal price, which is settled by the operator, and the PV power sharing level is also enhanced in the PV prosumer cluster.The effectiveness of model is verified in the case study.

关键词

光伏用户群/内部电价/需求响应/Stackelberg博弈

Key words

photovoltaic prosumer cluster/internal price/demand response (DR)/Stackelberg game

引用本文复制引用

王程,刘念,成敏杨,马丽..基于Stackelberg博弈的光伏用户群优化定价模型[J].电力系统自动化,2017,41(12):146-153,8.

基金项目

国家高技术研究发展计划(863计划)资助项目(2014AA052001).This work is supported by National High Technology Research and Development Program of China (863 Program) (No.2014AA052001). (863计划)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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