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改进遗传算法在滤波器优化配置中的应用 被引量:6

Application of the Improved Genetic Algorithm in Optimal Configuration of the Filter
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摘要 在电网中安装滤波器来治理谐波污染,可以有效地降低系统网损,能够避免谐波谐振或电流放大。以电网中安装无源滤波器和有源滤波器的总投资费用最少为目标函数,建立了合理的滤波器优化配置数学模型,以电压谐波畸变率为约束条件,保证优化方案下的各节点电压总谐波畸变率控制在规定限值以内,并利用改进遗传算法对滤波器进行优化配置。对16节点系统进行了仿真,结果表明所述算法可以很好地获得滤波器优化配置问题的全局最优解。该算法可以获得全局最优解,避免早熟,表明了算法的正确性和有效性。 Installation filter in power system to control harmonic pollution could effectively reduce the system loss and avoid harmonic resonance or current amplification.A reasonable mathematical model of filters optimization was established with making the total investment of passive filters and active filters to be least as the object function and voltage harmonic distortion rate as constraints to insure that the voltage total harmonic distortion rate was controlled within the prescribed limits.The improved genetic algorithm was used to optimize the configuration of power filters.The simulation results of optimization configuration by utilizing 16 nodes demonstrate that the algorithm can converge the global optimal solution quickly,shows its correctness and validity.
出处 《化工自动化及仪表》 CAS 北大核心 2010年第9期75-78,共4页 Control and Instruments in Chemical Industry
基金 黑龙江普通高校青年学术骨干支持计划(1154G54)
关键词 谐波源 遗传算法 无源滤波器 有源滤波器 优化配置 harmonic source genetic algorithms passive power filter active power filter optimization
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参考文献5

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二级参考文献10

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