电力系统无功优化的变尺度混沌优化算法  

MUTATIVE SCALE CHAOS OPTIMIZATION ALGORITHM FOR REACTIVE POWER OPTIMIZATION OF POWER SYSTEM

作　　者：娄素华[1] 吴耀武[1] 熊信艮[1] 

机构地区：[1]华中科技大学电气与电子工程学院,湖北省武汉市430074

出　　处：《电网技术》2005年第11期20-24,29,共6页Power System Technology

摘　　要：变尺度混沌优化(MSCOA)是一种改进的混沌优化方法(COA),利用混沌运动的内在随机性、遍历性和规律性进行全局寻优;通过尺度变换不断缩小优化变量的搜索空间,通过改变“二次搜索”的调节系数提高搜索精度,从而提高局部细化搜索能力。文章将该算法应用于电力系统无功优化问题,并对IEEE6节点系统以及某地区54节点系统进行了仿真计算,计算结果验证了算法的有效性。Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement. These intrinsic characteristics are employed by MSCOA to escape from the local minimum and implement global optimization. In MSCOA, the search space of optimized variable can be reduced continually by means of scale transform, and the search precision can be improved by changing the adjustment coefficient of quadratic search. Therefore, the refined local search ability is enhanced here. MSCOA is applied to reactive power optimization of power system and its effectiveness is validated by the simulation results of IEEE 6-bus system and a certain actual 54-bus system.

关 键 词：电力系统 混沌优化算法 变尺度 无功优化 混沌优化方法 节点系统 内在随机性 混沌运动 全局寻优 搜索空间 优化变量 尺度变换 搜索精度 调节系数 搜索能力 优化问题 仿真计算 计算结果 规律性 遍历性 

分 类 号：TM712[电气工程—电力系统及自动化] O224[理学—运筹学与控制论]