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Optimal allocation and sizing of capacitor banks for maximum power transfer to selected areas

机译:电容器组的最佳分配和尺寸设计,可将最大功率传输到选定区域

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摘要

Voltage stability has become a very important issue of power systems analysis. Therefore, the main contribution of this paper is to develop computer algorithm using hybrid variant of mean-variance mapping optimization (MVMO-SH) algorithm to find optimal allocation and the appropriate size of capacitors, which are required for maximum power transfer to selected area in the network. The fitness evaluation in MVMO-SH algorithm is found by Newton Raphson Power flow (NRPF) to determine important voltage stability index called voltage stability margin index (P). The method of finding out voltage stability margin index is also proposed. The concept, mechanism and implementation of MVMO-SH are discussed in this paper. The obtained results indicate the effectiveness of the approach applied in this paper to find the best location and appropriate size of multiple shunt compensators to the desired targets which is maximum power transfer to the selected area.
机译:电压稳定性已成为电力系统分析中非常重要的问题。因此,本文的主要贡献在于开发一种使用均值方差映射优化的混合变量(MVMO-SH)算法的计算机算法,以找到最佳分配和合适的电容器尺寸,这是将最大功率传输到选定区域的必要条件。网络。牛顿拉夫森潮流(NRPF)发现了MVMO-SH算法的适应性评估,以确定重要的电压稳定性指标,称为电压稳定性裕度指标(P)。提出了求电压稳定裕度指标的方法。讨论了MVMO-SH的概念,机制和实现。获得的结果表明本文所采用的方法的有效性,该方法可以找到多个分流补偿器的最佳位置和合适尺寸,以达到期望的目标,这是将最大功率传输到所选区域。

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