上海电机学院学报2024,Vol.27Issue(5) :286-291.

基于Stackelberg博弈的能源电力供需双层交易研究

A study on two-tier trading of energy and electricity supply and demand based on Stackelberg game

奚张严 隋丽辉
上海电机学院学报2024,Vol.27Issue(5) :286-291.

基于Stackelberg博弈的能源电力供需双层交易研究

A study on two-tier trading of energy and electricity supply and demand based on Stackelberg game

奚张严 1隋丽辉1
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作者信息

  • 1. 上海电机学院商学院,上海 201306
  • 折叠

摘要

为解决电力市场发展不均衡、能源电力供需两侧利益冲突等问题,提出了一种基于Stackelberg博弈的能源电力供需双层交易策略.首先,在考虑发电侧最优和最劣两种发电情况下,引入购电代理商参与电力市场的交易,建立一个以购电代理商为主导者、发电商和用户为从属者的双层Stackelberg博弈策略;其次,以自身利益最大化为优化目标,通过不断调整博弈策略优化各参与者的利益;最后,证实了 Stackelberg均衡解存在唯一性,采用双层优化方法求解得出各主体的最优策略.仿真验证表明:所提博弈模型和最优策略能够在不同发电场景下最大化彼此利益,并为缓解能源供需双方利益冲突提供一定的解决思路.

Abstract

To solve the problems of unbalanced power market development and many conflicting interests on both the supply and demand sides of energy and power,a two-tier trading strategy of energy and electricity supply and demand is proposed based on the Stackelberg game.First,considering the optimal and the worst power generation conditions on the power generation side,power purchasing agents are introduced to participate in the electricity market trading,and a two-tier Stackelberg game strategy is established with power purchasing agents as the leaders,and power generators and users as subordinates.Second,taking the maximization of their own interests as the optimization objective,the interests of each participant are optimized by continuously adjusting the game strategy.Finally,the uniqueness of the Stackelberg equilibrium solution is proved,and the optimal strategies of each entity are obtained by using a two-layer optimization method.The simulation results show that the proposed game model and optimal strategy can maximize the interests of each party under different generation scenarios,and provide certain solutions for alleviating the conflict of interests between the energy supply and demand parties.

关键词

电力交易/最优最劣法/Stackelberg博弈/最优策略/双层优化

Key words

electricity trading/best worst method/Stackelberg game/optimal strategy/two-layer optimization

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出版年

2024
上海电机学院学报
上海电机学院

上海电机学院学报

影响因子:0.338
ISSN:2095-0020
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