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Optimal capacitor placement and sizing in distorted radial distribution systems part III: Numerical results

机译:变形的径向配电系统中电容器的最佳放置和尺寸调整第三部分:数值结果

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Shunt capacitor installation in distribution systems is very beneficial and requires optimal placement and sizing of theses capacitors. Due to the proliferation of electronic devices, more harmonics are being injected into distribution systems. Adding shunt capacitors may lead to high distortion levels. The capacitor placement and sizing problem is a nonlinear integer optimization problem, with locations and ratings of shunt capacitors being discrete values. The goal is to minimize the overall cost of the total real power loss and that of shunt capacitors while satisfying operating and power quality constraints. The paper proposes to solve the problem using particle swarm optimization (PSO). A discrete version of PSO is combined with a radial distribution power flow algorithm (RDPF) to form a hybrid PSO algorithm (HPSO). The former is employed as a global optimizer to find the global optimal solution, while the latter is used to calculate the objective function and to verify bus voltage limits. To include the presence of harmonics, the developed HPSO was integrated with a harmonic power flow algorithm (HPF). The proposed (HPSO-HPF) based approach is tested on an IEEE 13-bus radial distribution system (13-Bus-RDS). The findings clearly demonstrate the necessity of including harmonics in optimal capacitor placement and sizing to avoid any possible problems associated with harmonics.
机译:将并联电容器安装在配电系统中非常有益,并且需要对这些电容器进行最佳放置和尺寸调整。由于电子设备的激增,更多的谐波被注入配电系统。添加并联电容器可能会导致较高的失真水平。电容器放置和尺寸确定问题是非线性整数优化问题,并联电容器的位置和额定值是离散值。目的是在满足操作和电源质量约束的同时,将总实际功率损耗和并联电容器的总成本降至最低。本文提出使用粒子群算法(PSO)解决该问题。 PSO的离散版本与径向分布潮流算法(RDPF)组合在一起,形成了混合PSO算法(HPSO)。前者用作全局优化器,以找到全局最优解,而后者则用于计算目标函数和验证总线电压极限。为了包括谐波的存在,已开发的HPSO与谐波潮流算法(HPF)集成在一起。该基于(HPSO-HPF)的方法已在IEEE 13总线径向分配系统(13-Bus-RDS)上进行了测试。这些发现清楚地表明了在最佳电容器放置中包括谐波的必要性,并确定尺寸以避免与谐波相关的任何可能的问题。

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