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Application of TLBO for Distribution Network Planning via Coordination of Distributed Generation and Network Reconfiguration

机译:TLBO在分布式生成和网络重新配置的协调中的应用分配网络规划

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This paper proposes an application of Teaching Learning Based Optimization (TLBO) method for optimal integration of Distributed Generations (DGs) in distribution systems to minimize annual energy loss and to maintain a better node voltage profile using penalty factor approach. A piece-wise linear variable load pattern is considered and the distribution network is reconfigured after optimal DG placement. Efforts have been made to scan the search space efficiently in such a way that every node of the system is a candidate node for DG placement with a priority level. The proposed method is applied on IEEE 33-bus test distribution system. The results obtained are promising when compared with other recently established methods.
机译:本文提出了一种应用基于学习的优化(TLBO)方法,以便在分配系统中的分布式代代(DGS)的最佳集成,以最大限度地减少使用惩罚因子方法保持更好的节点电压曲线。考虑一种分型线性可变负载图案,并且在最佳DG放置之后重新配置分配网络。已经努力以有效地扫描搜索空间,使得系统的每个节点是具有优先级的DG放置的候选节点。所提出的方法应用于IEEE 33总线测试分配系统。与最近建立的方法相比,所获得的结果是有前途的。

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