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Optimal allocation and sizing of DG and shunt capacitors using differential evolutionary algorithm

机译:利用差分进化算法优化DG和并联电容器的分配和尺寸

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摘要

In the last lew years, a number of factors have led to an increased interest in dislributed generation (DG) scheme because placement of DG is the most effective method in reducing the power loss of the distribution networks to serve remote loads. Placement of shunt capacitors improves voltage profile but unable lo serve remote load as it can provide only reactive power. So, combination of both gives productive solution. In this paper, differential evaluation algorithm (DEA) is utilised to find optimal location and sizes of both DGs and shunt capacitors in radial distribution systems with an objective of minimising line losses subjected to bus voltage limits. The performance of the proposed algorithm is implemented on Indian Eleclricily Board benchmark 25- bus distribution system.
机译:在最近的短短几年中,许多因素导致对分布式发电(DG)方案的兴趣增加,因为DG的放置是减少服务于远程负载的配电网络功率损耗的最有效方法。并联电容器的放置改善了电压分布,但由于它只能提供无功功率,因此无法负载远程负载。因此,两者的结合提供了有效的解决方案。在本文中,利用差分评估算法(DEA)来找到径向分布系统中DG和并联电容器的最佳位置和大小,目的是使受总线电压限制的线损最小。该算法的性能在印度Eleclricily Board基准25总线配电系统上实现。

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