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Distributed Generators Location and Capacity Effect on Voltage Profile Improvement and Power Losses Reduction Using Genetic Algorithm

Distributed Generators Location and Capacity Effect on Voltage Profile Improvement and Power Losses Reduction Using Genetic Algorithm
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摘要 This paper presents a powerful approach to find the optimal size and location of distributed generation units in a distribution system using GA(Genetic Optimization algorithm).It is proved that GA method is fast and easy tool to enable the planners to select accurate and the optimum size of generators to improve the system voltage profile in addition to reduce the active and reactive power loss.GA fitness function is introduced including the active power losses,reactive power losses and the cumulative voltage deviation variables with selecting weight of each variable.GA fitness function is subjected to voltage constraints,active and reactive power losses constraints and DG size constraint.
出处 《Journal of Energy and Power Engineering》 2012年第3期446-455,共10页 能源与动力工程(美国大卫英文)
关键词 GA(genetic algorithm) DG(distributed generators) cumulative voltage deviation active and reactive power loss WEIGHT MATLAB load flow. 遗传算法 电压档 发电机 分布式 电力损失 位置 有功功率损耗 容量
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参考文献14

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