| 基于改进遗传算法的电力系统无功优化 |
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| 引用本文： | 王启. 基于改进遗传算法的电力系统无功优化[J]. 江苏教育学院学报, 2008, 0(4): 1-5 |
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| 作者姓名： | 王启 |
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| 作者单位： | 南京师范大学电气与自动化工程学院,江苏南京210042 |
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| 摘 要： | 在简单遗传算法的基础上，针对无功优化的动态、多目标、多约柬以及非线性特点，提出了基于简单遗传算法的改进算法．改进遗传算法中采用了个体适应度函数的线性变换、归一化的选择方法，以及定向变异策略的应用．以Ward＆Hale6节点标准测试系统为例对该算法进行了有效性验证．仿真结果表明，该方法对电力系统的无功优化效果良好．
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| 关 键 词： | 遗传算法 无功优化 归一化的选择方法 定向变异策略 |
Reactive Power Optimization Based on Modified Genetic Algorithm in Electric Power Systems |
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| WANG Qi. Reactive Power Optimization Based on Modified Genetic Algorithm in Electric Power Systems[J]. Journal of Jiangsu Institute of Education(Social Science), 2008, 0(4): 1-5 |
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| Authors: | WANG Qi |
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| Affiliation: | WANG Qi (School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, 210042) |
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| Abstract: | Focusing on the dynamic, multi-objective, multi-restriction and non-linearity characteristics of reactive power, the experimenters propose an improved algorithm based on Genetic Algorithm（ GA）, which appends with the Linear Fitness-scaling in the process of genetic algorithms, the normalization select of stair-step iteration and evolution direction based directed variant GA. To validate, this method is applied to Ward ＆ Hale 6 buses. As is shown in the emulation result the algorithm works well on reactive power optimization in power system, |
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| Keywords: | genetic algorithm reactive power optimization normalization select of stair-step iteration evolution direction based directed variant GA |
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