华电技术 ›› 2010, Vol. 32 ›› Issue (12): 14-17.

• 研究与开发 • 上一篇    下一篇

基于Repast的演化博弈理论仿真研究与应用

顾洪超,黄仙   

  1. 华北电力大学 控制与计算机工程学院,北京102206
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-12-25 发布日期:2010-12-25

Simulation research and application of evolutionary game theory based on Repast

GU Hongchao,HUANG Xian   

  1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-12-25 Published:2010-12-25

摘要: 演化博弈理论是博弈理论新的发展,它起初产生于生物学领域,随着研究的深入,科学人员逐渐将其引入到其他领域并发掘出其重要的意义。目前研究演化博弈的方法主要包括解析法和基于计算机的仿真方法。Repast是目前使用较多的基于多主体的建模与计算机仿真的平台之一。利用Repast仿真平台,将已有的模型(复制动态方程)进行封装,在给定的条件下进行仿真研究,并将该方法应用到电力市场当中,对发电厂商竞价行为进行仿真模拟。仿真过程中,该平台很好地体现了各发电厂商采用不同策略进行博弈的动态过程,并最终趋于各自的均衡。仿真所得结论与利用解析方法基本上一致。

关键词: 演化博弈理论, 电力市场, 竞价行为, Repast

Abstract: The evolutionary game theory is new development of the game theory. It initially arose from biology domain; along with the indepth study, the scientists introduced it into other fields gradually and have unearthed its important significance. There are mainly two methods to research the evolutionary game theory at present, one is analytic method, and another is computerbased simulation method. The Repast is one of the frequentlyused multiagentbased modeling and computer simulation platforms. Using the Repast simulation platform, packet the existed model (copied dynamical equation of state); carry out the simulation study under given conditions; use this method in electricity market to simulate the bidding behavior of the power generation enterprises. During simulation process, the dynamic processes of various power generation enterprises adopting different game strategies were well incarnated by the platform, and finally tended to their own equilibrium. The conclusion obtained by simulation is basically in accord with that obtained by analytic method.

Key words: evolutionary game theory, electricity market, bidding behavior, Repast