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Nash Equilibrium-Based Asymptotic Stability Analysis of Multi-Group Asymmetric Evolutionary Games in Typical Scenario of Electricity Market

复制因子方程 正常形式游戏 进化博弈论 进化稳定策略 纳什均衡 博弈论 均衡选择 数理经济学 进化动力学 计算机科学 群(周期表) 随机博弈 重复博弈 数学优化 数学 人口 化学 人口学 有机化学 社会学
作者
Lefeng Cheng,Tao Yu
出处
期刊:IEEE Access [Institute of Electrical and Electronics Engineers]
卷期号:6: 32064-32086 被引量:68
标识
DOI:10.1109/access.2018.2842469
摘要

This paper introduces new theoretical insights into Nash equilibrium-based asymptotic stability (NEAS) of two-group and three-group asymmetric evolutionary games in typical scenarios of electricity market (EM). EM competition has become a complex dynamic evolution process accomplished by more complex characteristics of market economy behavior. Replicator dynamics in evolutionary game theory, as well as Lyapunov stability theory, are employed to solve incomplete-information and bounded-rationality game issues in EM, so as to overcome theoretical demerits of classical game theory in solving multi-group games in EM. First, the NEAS of a unilateral two-group asymmetric evolutionary game (AEG) is investigated. Then, this is expanded to a complicated 2 × 2 × 2 trilateral multi-group AEG, and the NEAS of it under different game situations in EM is thoroughly discussed. Finally, a practical case study is conducted for verification. The case illustrates how the factors affect the payoff matrix which will change ultimate evolutionary stable state of the multi-group AEG in EM. One main finding demonstrates the complete dynamics behavior and multi-group evolutionary stable strategy (MESS) of the AEG system in 3-D mixed strategy space. The other one reveals that EM policies formulated by government and other factors can gradually influence the MESS via changing the payoff distribution matrix.

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