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Optimal Allocation of Renewable DG Sources in Distribution Networks Considering Load Growth

机译:考虑负荷增长的分销网络中可再生DG源的最佳分配

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The annual increasing of load demand in electrical distribution networks leads to line congestion, decreasing the bus voltages below the acceptable limits and increasing the active and reactive power losses. However, renewable distributed generation (DG) has received increasing attention due to that growing in load demand. This paper presents a hybrid method based on moth-flame optimization (MFO) algorithm with loss sensitivity factor (LSF) to assign the optimal location and size of renewable DG units including solar (PV) and wind (WTG) based DG for minimizing the power losses taking into account the effect of annual load growth. The performance of this developed method is tested on IEEE 69-bus branch distribution system by comparing the results with other optimization techniques, the obtained results illustrate significant reduction in power loss, improvement in system voltage and increasing the distribution system capacity.
机译:电气配电网络中负荷需求​​的年增长率导致线拥堵,降低了可接受限制下方的总线电压,并增加了主动和无功损耗。然而,由于负载需求的增长,可再生分布生成(DG)已收到越来越多的关注。本文介绍了一种基于损耗灵敏度因子(LSF)的飞蛾 - 火焰优化(MFO)算法的混合方法,以指定可再生DG单元的最佳位置和大小,包括基于太阳能(PV)和基于风(WTG)的DG,以使功率最小化考虑到年负荷增长的损失。通过将结果与其他优化技术进行比较,在IEEE 69-BUS分支分配系统上测试了这种开发方法的性能,所得到的结果说明了功率损耗的显着降低,系统电压提高以及增加了分配系统容量。

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