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Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks

机译:径向分布网络中四种不同分布生成类型的最优分配的分析与粒子群优化算法

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In this paper,two algorithms,analytical and particle swarm optimization(PSO),are introduced and compared with each other for optimal allocation of distributed generation(DG)units in radial distribution networks(RDNs)to minimize the total loss in real power.Four different types of DG units are considered in this work.The two algorithms make use of a backward/forward load flow method for the load flow analysis of the RDN by which the node voltages and the total active power loss of the network are determined.The introduced algorithms are tested on the IEEE 41 bus radial distribution system and the results are obtained using MATLAB.Discussions are provided based on the results of case studies.
机译:在本文中,引入了两种算法,分析和粒子群优化(PSO),并彼此进行比较,以便在径向分布网络(RDN)中的分布式发电(DG)单元的最佳分配,以最大限度地减少实际功率的总损失.FOUR在这项工作中考虑了不同类型的DG单位。这两种算法利用了对RDN的RDN的负载流量分析的后/前载流量,并确定了网络的总有效功率损耗。引入的算法在IEEE 41总线上测试了IEEE 41总线径向分布系统,并使用MATLAB.CASSIS获得结果基于案例研究的结果提供。

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