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首页> 外文期刊>Electric power systems research >Bacterial foraging solution based fuzzy logic decision for optimal capacitor allocation in radial distribution system
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Bacterial foraging solution based fuzzy logic decision for optimal capacitor allocation in radial distribution system

机译：径向分配系统中基于细菌觅食解的模糊逻辑决策最优电容器分配

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摘要

This paper proposes a novel methodology for the optimal location and sizing of shunt capacitors in radial distribution systems. This method is based on a fuzzy decision making which using a new evolutionary method. The capacitor placement optimization problem includes: minimizing the cost of peak power, reducing energy loss and improving voltage profile. The installation node is selected by the fuzzy reasoning supported by the fuzzy set theory in a step by step procedure. Also an evolutionary algorithm known as bacteria foraging algorithm (BFA) is utilized in solving the objective multivariable optimization problem and the optimal node for capacitor placement is determined. The proposed approach is applied to 34-bus distribution system as a test study and the results are compared with previous method. The results show that this method provides more economic solution by reducing power losses, energy loss, total required capacitive compensation and show a good improvement in nodes voltage to be in the requested range. Comparison between the proposed method in this paper and similar methods in other research works shows the effectiveness of the proposed method for solving optimum capacitor planning problem.
机译：本文提出了一种用于径向分布系统中并联电容器的最佳位置和尺寸的新颖方法。该方法基于使用新进化方法的模糊决策。电容器放置优化问题包括：最小化峰值功率成本，减少能量损耗并改善电压曲线。通过逐步设置过程中模糊集理论支持的模糊推理来选择安装节点。还使用一种称为细菌觅食算法（BFA）的进化算法来解决目标多变量优化问题，并确定电容器放置的最佳节点。将该方法应用于34客车配电系统作为试验研究，并将结果与​​以前的方法进行了比较。结果表明，该方法通过减少功率损耗，能量损耗，总所需的电容补偿提供了更经济的解决方案，并且节点电压在要求的范围内显示出良好的改善。通过将本文提出的方法与其他研究工作中的类似方法进行比较，表明了该方法在解决最佳电容器规划问题方面的有效性。

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