基于协同进化算法求解寡头电力市场均衡  

A Coevolutionary Approach to Calculate Equilibrium for Oligopolistic Electricity Market

作　　者：杨彦[1] 陈皓勇[1] 张尧[1] 王野平[1] 荆朝霞[1] 谭科[1] 

机构地区：[1]华南理工大学电力学院,广东省广州市510640

出　　处：《电力系统自动化》2009年第18期42-46,115,共6页Automation of Electric Power Systems

摘　　要：建立并分析了考虑网络约束且能考虑需求方策略竞价的电力市场线性供给函数模型,在该市场框架中,独立系统运行员通过求解最优潮流来确定发电安排以及节点电价,市场策略性参与者通过竞标来追求最大利润。运用协同进化算法求取市场均衡,协同进化算法系一种智能代理仿真方法,借鉴了生态系统中协同进化机制的理念。多个算例被用来验证协同进化算法的有效性,实验结果表明如果市场存在纯策略均衡,该算法均能够快速收敛到均衡点,运用简便且具有较强的搜索能力。A linear supply function equilibrium （LSFE） model considering network constraints and demand side bidding for oligopolistic electricity market is presented. In this market model, the ISO solves an optimal power flow for dispatching generation and determining nodal prices, and participants will choose their bids to seek the maximum profits. Developed from agent-based simulation methods, the coevolutionary approach simulates the coevolutionary mechanism in nature and adopts the notions of ecosystem. It is employed to calculate the Nash equilibrium point in this work. Numerical examples are used to validate the effectiveness of the proposed method. Simulation results show that the robust and flexible of the coevolutionary approach. It can converge to pure strategy equilibrium rapidly if it exists.

关 键 词：电力市场 纳什均衡 网络约束 线性供给函数均衡 协同进化算法 

分 类 号：F426.61[经济管理—产业经济]