期刊导航

论文摘要

基于粒子群算法的发电商非合作博弈行为分析

Analysis of the Bidding Strategy of Power Producers with Non-cooperative Game Theory Based on PSO

作者:杨道辉(四川大学 能源发展研究中心,四川 成都 610065);马光文(四川大学 能源发展研究中心,四川 成都 610065);吴世勇(四川大学 能源发展研究中心,四川 成都 610065)

Author:(Energy Development and Research Center, Sichuan Univ., Chengdu 610065,China);(Energy Development and Research Center, Sichuan Univ., Chengdu 610065,China);(Energy Development and Research Center, Sichuan Univ., Chengdu 610065,China)

收稿日期:2005-11-29          年卷(期)页码:2006,38(6):51-56

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:竞价策略;博弈;纳什均衡;粒子群算法

Key words:bidding strategies;game theory;Nash equilibrium;PSO

基金项目:国家自然科学基金资助项目(50539140)

中文摘要

电力市场环境下,发电商竞价策略对自身获利有很大影响,为使自身获利最大化,须对竞价策略进行研究。利用博弈论方法对电力市场中电力总需求缺乏弹性时各发电商间非合作关系下竞价上网的报价行为进行了分析研究,并用粒子群算法(Particle Swarm Optimizer,PSO)求出了纳什均衡的近似解。该解可以指导发电商制定竞价上网的报价曲线,避免发电商盲目报价。本研究为考虑时间约束后纳什均衡解的求取提供了思路和方法。

英文摘要

In electric power market, the bidding strategy of power producer has very great influence on its profit and power producer should study the bidding strategy in order to maximize its own profit. The bidding strategies among power producers in electric power market were studied with non-cooperative game theory under inelastic electric power demands. According to the characteristics of the problem,based on PSO, the multi objective programming model of the solution of Nash equilibrium was given, and the approximate result was obtained. The result can guide the power producers to constitute the bidding curves, which makes the producers not be blind to bid.

关闭

Copyright © 2020四川大学期刊社 版权所有.

地址:成都市一环路南一段24号

邮编:610065