| 电力系统无功优化的变尺度混沌优化算法 |
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| 引用本文： | 娄素华,吴耀武,熊信艮.电力系统无功优化的变尺度混沌优化算法[J].电网技术,2005,29(11):20-24. |
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| 作者姓名： | 娄素华 吴耀武 熊信艮 |
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| 作者单位： | 华中科技大学,电气与电子工程学院,湖北省,武汉市,430074 |
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| 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IEEE 6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.
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| 关 键 词： | NULL |
| 文章编号： | 1000-3673(2005)11-0020-05 |
MUTATIVE SCALE CHAOS OPTIMIZATION ALGORITHM FOR REACTIVE POWER OPTIMIZATION OF POWER SYSTEM |
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| LOU Su-hua,WU Yao-wu,XIONG Xin-yin.MUTATIVE SCALE CHAOS OPTIMIZATION ALGORITHM FOR REACTIVE POWER OPTIMIZATION OF POWER SYSTEM[J].Power System Technology,2005,29(11):20-24. |
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| Authors: | LOU Su-hua WU Yao-wu XIONG Xin-yin |
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| Abstract: | 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. |
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| Keywords: | Power system Reactive power optimization Chaos optimization algorithm(COA) Mutative scale chaos optimization algorithm(MSCOA) |
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