结合降维潮流法的差分进化配电网电容器优化配置

S. Neelima, Dr. P. S. Subramanyam
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引用次数: 6

摘要

配电系统是大容量电力系统与用户之间的接口。在这些系统中,径向分布系统因其成本低、设计简单而广受欢迎。在配电系统中,当从变电站移出时,母线电压成比例降低,损耗也呈二次增长。电压下降和损耗增加的原因是无功功率不足,而并联电容器可以提供的无功功率不足。但电容器尺寸合适的位置始终是一个挑战。因此,电容器的最优配置问题是确定电容器在配电网中的位置和尺寸,以有效地减少电力损耗和改善系统的电压分布。为此,本文采用了两阶段方法。在第一阶段,采用“降维配电潮流算法(DRDLFA)”对预补偿配电系统进行潮流计算。在此负荷流的基础上,计算了补偿的潜在位置。在第二阶段,采用差分进化算法确定电容器的最优位置和尺寸,使能量损失和电容器成本最小。该方法在IEEE 69总线系统上进行了测试,并与文献中的粒子群优化等方法进行了比较。
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Optimal capacitor placement in distribution networks using differential evolution incorporating dimension reducing power flow method
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.
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