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Optimal Location and Sizing of UPQC in Distribution Networks Using Differential Evolution Algorithm

机译：基于差分进化算法的配电网UPQC最优位置和尺寸

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摘要

Differential evolution (DE) algorithm is used to determine optimal location of unified power quality conditioner (UPQC) considering its size in the radial distribution systems. The problem is formulated to find the optimum location of UPQC based on an objective function (OF) defined for improving of voltage and current profiles, reducing power loss and minimizing the investment costs considering the OF's weighting factors. Hence, a steady-state model of UPQC is derived to set in forward/backward sweep load flow. Studies are performed on two IEEE 33-bus and 69-bus standard distribution networks. Accuracy was evaluated by reapplying the procedures using both genetic (GA) and immune algorithms (IA). Comparative results indicate that DE is capable of offering a nearer global optimal in minimizing the OF and reaching all the desired conditions than GA and IA.
机译：考虑到其在径向配电系统中的大小，差分演化（DE）算法用于确定统一电能质量调节器（UPQC）的最佳位置。根据目标函数（OF）定义问题以找到UPQC的最佳位置，该目标函数定义为改善电压和电流曲线，减少功率损耗并考虑到OF的加权因子，从而将投资成本降至最低。因此，导出了UPQC的稳态模型以设置正向/反向扫描潮流。研究是在两个IEEE 33总线和69总线标准配电网络上进行的。通过使用遗传（GA）和免疫算法（IA）重新应用程序来评估准确性。比较结果表明，与GA和IA相比，DE能够在将OF最小化和达到所有所需条件方面提供更接近的全局最优。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第8期|838629.1-838629.20|共20页
  • 作者

    Seyed Abbas Taher; Seyed Ahmadreza Afsari;

  • 作者单位

    Department of Electrical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167, Iran;

    Department of Electrical Engineering, Faculty of Engineering, University of Kashan, Kashan 87317-51167, Iran;

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