A Grasshopper Optimization Algorithm to solve Optimal Distribution System Reconfiguration and Distributed Generation Placement Problem

被引：0

作者：

Asasi, Mehran Sanjabi ^{[1
]}

Ahanch, Mojtaba ^{[1
]}

Amiri, Mojtaba Sedghi ^{[1
]}

机构：

[1] Neka Power Generat Management Co, Neka, Iran

来源：

2017 IEEE 4TH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI) | 2017年

关键词：

Keywords distribution system reconfiguration (DSR); DG placement; active power loss; grasshopper optimization algorithm (GOA); OPTIMAL NETWORK RECONFIGURATION; RADIAL-DISTRIBUTION SYSTEMS; LOSS REDUCTION; FEEDER RECONFIGURATION; LOSS MINIMIZATION; ALLOCATION; SEARCH; DGS;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a novel technique for solving simultaneous optimal distribution system reconfiguration and DG placement problem in order to minimize active power loss. A meta-heuristic Grasshopper Optimization Algorithm (GOA) inspired from the swarming behavior of grasshoppers in nature is implemented to determine optimal solution to this optimization problem. The proposed method is applied to 33 and 69- bus test systems. The obtained results have been compared with other existing evolutionary algorithms, so that the comparisons confirm the performance as well as the effectiveness of the proposed method to determine the global optimum solution.

引用

页码：659 / 666

页数：8

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