首页> 外文会议>IEEE International Conference on Environment and Electrical Engineering;IEEE Industrial and Commercial Power Systems Europe >Minimizing Power Loss in Distribution System by Optimal Sizing and Sitting of Distributed Generators with Network Reconfiguration Using Grey Wolf and Particle Swarm Optimizers
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Minimizing Power Loss in Distribution System by Optimal Sizing and Sitting of Distributed Generators with Network Reconfiguration Using Grey Wolf and Particle Swarm Optimizers

机译:通过使用灰狼和粒子群优化器进行网络重新配置,通过优化分布式发电机的选型和坐姿,将配电系统中的功率损耗降至最低

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This paper presents two meta-heuristic based algorithms, Grey Wolf Optimizer (GWO) and Particle Swarm Optimizer (PSO), to solve network reconfiguration problem in the presence of installing multiple renewable Distributed Generators (DGs). These algorithms are applied to IEEE 33-bus to minimize the real power loss. The results clearly indicate that there is a considerable reduction in the real power loss, reactive power loss, and improvement of the voltage profile.
机译:本文提出了两种基于元启发式的算法,即灰狼优化器(GWO)和粒子群优化器(PSO),以解决在安装多个可再生分布式发电机(DG)的情况下的网络重新配置问题。这些算法应用于IEEE 33总线,以最大程度地减少实际功耗。结果清楚地表明,有功功率损耗,无功功率损耗和电压曲线的改善都大大降低了。

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