电力系统无功优化方法综合分析  

Synthetical Analysis of Var Optimization Methods of Electric Power System

作　　者：翁利民[1] 靳剑峰[2] 

机构地区：[1]武汉大学电气工程学院,武汉430072 [2]郑州电力高等专科学校,郑州450004

出　　处：《电力电容器》2004年第2期1-4,6,共5页Power Capacitors

摘　　要：无功优化是电力系统电压稳定与经济运行的核心问题 ,也是提高电力系统电压质量的重要措施。本文简要地介绍了无功优化的经典算法 :梯度类算法 ,牛顿法 ,二次规划法和线性规划法。详细地分析了人工智能方法在无功优化中的应用 ,即遗传算法、模拟算法、Tabu搜索法、混合算法、专家系统、人工神经网络法、模糊优化法等应用于无功优化的基本思路 ,还对动态规划法进行了分析 ,并进行诸多方法的比较 ,得出了合理的结论 :遗传算法及其与其它算法的结合 。Var optimization is core problem of voltage stability and economic operation of electric power system, also important measure to improve voltage quality. This paper introduces briefly the classical arithmetic: Grades, Newtons,Sequential Quadratric, Programmings,and Linearity Programings Agorithm. It analyzes particularly the application of Artifical Intelligence methods, compares the basic thoughtfulness of GA,SA,Tabu,TS,ES,ANN and Dynamic Programming,etc. The paper takes reasonable conclusion finally: GA and their combination method will play a more important role in appliance region of var optimization and controlling.

关 键 词：无功优化 人工智能方法 动态规划法 遗传算法 

分 类 号：TM714.1[电气工程—电力系统及自动化]