差分进化算法在电力系统中的应用研究进展  

Advances in application of differential evolution algorithm to power systems

作　　者：袁晓辉[1] 苏安俊[1] 聂浩[1] 张勇传[1] 袁艳斌[2] 

机构地区：[1]华中科技大学水电与数字化工程学院,武汉430074 [2]武汉理工大学资源与环境学院,武汉430070

出　　处：《华东电力》2009年第2期243-249,共7页East China Electric Power

基　　金：国家自然科学基金资助项目(5077902040572166);国家自然科学基金重点资助项目(50539140)

摘　　要：差分进化算法是一种基于群体智能的新型演化计算技术,近年来已在多种领域成功应用,但电力系统中实际应用尚不多见。评述了差分进化算法在电网规划、负荷经济分配、最优潮流计算与无功优化调度、谐波分析与电容器配置、发电计划、优化设计等方面应用的研究成果和进展情况,还将在电力市场竞价交易、投标策略以及电力市场仿真等领域发挥应用潜力。Differential evolution （DE） algorithm based on swarm intelligence is a new evolutionary computational tool and has been successfully applied to function optimization, neural network design, classification, pattern recognition, signal processing, robot technology and so on. However, reports on its practical applications to power systems could be seldom seen. In this paper, the main research results of applying DE to power systems, such as power grid planning, load economic dispatch, optimal power flow calculation and reactive power dispatch optimization, harmonic analysis and capacitor configuration, generation scheduling, and optimal design, were illuminated. Its latent capacity will also be brought into play in electricity market auction, bidding strategy and electricity market simulation.

关 键 词：差分进化 智能计算 群集智能 电力系统 

分 类 号：TM715[电气工程—电力系统及自动化]