基于混沌搜索的多目标模糊优化潮流算法  

A CHAOS OPTIMIZATION BASED ALGORITHM FOR MULTI-OBJECTIVE FUZZY OPTIMAL POWER FLOW

作　　者：卓峻峰[1] 赵冬梅[1] 

机构地区：[1]华北电力大学电力工程系,北京102206

出　　处：《电网技术》2003年第2期41-44,49,共5页Power System Technology

摘　　要：提出了一种混沌搜索与模糊集理论相结合求解电力系统最优潮流问题的新方法。该方法利用混沌变量的随机性、规律性、遍历性进行寻优,克服了基于导数的优化方法对于梯度信息的高度依赖性而造成的困难。用模糊集理论将多目标函数和可伸缩约束条件模糊化,把多目标最优潮流问题转化为单目标非线性规划问题,这种方法结构简单,易于实施。试验系统的计算结果表明,该算法具有较好的全局收敛特性,搜索速度快,求解精度高,使用灵活,是解决电力系统最优潮流问题的一种有效方法。A new method is put forward in which thechaos optimization is combined with fuzzy set to solve the OPF problems of power system. In this method the randomness,regularity and ergodicity of chaotic variables are used in the searching to overcome the difficulties which are caused by the high dependency of traditional derivate based optimisticmethod on gradient information. Fuzzifying the multi-objective function and dilation-able constraint condition, themulti-objective OPF problem is reformed to a single objective non-linear programming problem. The proposed method issimple in architecture and easy to implement. The calculation results for testing system show that this method can escapelocal optimization, it possesses better global convergence, high searching speed and high accuracy of solution and is flexible in application.

关 键 词：电力系统 混沌搜索 模糊集理论 多目标模糊优化潮流算法 遗传算法 

分 类 号：TM744[电气工程—电力系统及自动化]