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Optimal capacitor placement in distribution networks using differential evolution incorporating dimension reducing power flow method

机译:采用差分进化并结合降维潮流方法的配电网电容器优化放置

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A distribution system is an interface between the bulk power system and the consumers. Among these systems, radial distributions system is popular because of low cost and simple design. In distribution systems, the voltages at buses decrease proportionally, when moved away from the substation, also the losses increases quadraticaly. The reason for decrease in voltage and increase in losses is the insufficient amount of reactive power, which can be provided by the shunt capacitors. But the placement of the capacitor with appropriate size is always a challenge. Thus the optimal capacitor placement problem is to determine the location and size of capacitors to be placed in distribution networks in an efficient way to reduce the power losses and improve the voltage profile of the system. For this purpose, in this paper, two stage methodologies are used. In first stage, the load flow of pre-compensated distribution system is carried out using ‘dimension reducing distribution load flow algorithm (DRDLFA)’. On the basis of this load flow the potential locations of compensation are computed. In the second stage, Differential Evolution (DE) Algorithm is used to determine the optimal location and size of the capacitors such that the cost of the energy loss and capacitor cost to be a minimum. The above method is tested on IEEE 69 bus system and compared with other methods in the literature like Particle swarm optimization.
机译:配电系统是散装电力系统与用户之间的接口。在这些系统中,由于低成本和简单的设计,径向分布系统很受欢迎。在配电系统中,母线处的电压成比例地降低,当从变电站移开时,损耗也按平方增加。电压降低和损耗增加的原因是无功功率不足,这可由并联电容器提供。但是,适当尺寸的电容器放置始终是一个挑战。因此,最佳的电容器放置问题是以有效的方式确定要放置在配电网络中的电容器的位置和尺寸,以减少功率损耗并改善系统的电压分布。为此,在本文中,使用了两个阶段的方法。在第一阶段,使用“降维配电潮流算法(DRDLFA)”执行预补偿配电系统的潮流。基于此潮流,可以计算出可能的补偿位置。在第二阶段,使用差分进化(DE)算法确定电容器的最佳位置和尺寸,以使能量损失成本和电容器成本降至最低。以上方法在IEEE 69总线系统上进行了测试,并与文献中的其他方法(例如粒子群优化)进行了比较。

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