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Combined MDS-GTA and CPSO-based multi-stage planning of power distribution networks

机译:结合MDS-GTA和基于CPSO的配电网络多阶段规划

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摘要

The paper presents multistage planning of an electrical distribution networks including distributed generation (DG). Two important issues of the planning problem have been addressed. First part of this paper is focused on a modified direct search-graph theoretical approach (MDS-GTA) for feeder routing of a meshed distribution system. The second part focuses on DG placement problem in the optimal radial distribution network obtained through MDS-GTA, using constricted particle swarm optimisation (CPSO) approach. A suitable combination of the objective function and constraints are included for obtaining the minimum cost network, through MDS-GTA of meshed distribution system and to select the most suitable bus for DG placement using CPSO approach, respectively. The combined technique is extensively validated on two test distribution systems and the results obtained are highly encouraging for feeder routing and DG placement in distribution networks.
机译:本文介绍了包括分布式发电(DG)的配电网络的多阶段计划。规划问题的两个重要问题已得到解决。本文的第一部分侧重于改进的直接搜索图理论方法(MDS-GTA),用于网状配电系统的馈线路由。第二部分着重介绍了使用压缩粒子群优化(CPSO)方法通过MDS-GTA获得的最佳径向分布网络中的DG放置问题。包括目标函数和约束的适当组合,以通过网状配电系统的MDS-GTA获得最低成本的网络,并分别使用CPSO方法为DG放置选择最合适的总线。该组合技术已在两个测试配电系统上得到了广泛验证,并且获得的结果对于在配电网中进行馈线布线和DG布置非常令人鼓舞。

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