Reconfiguration of Smart Distribution Network in the Presence of Renewable DG's Using GWO Algorithm

被引：9

作者：

Siavash, M. ^{[1
]}

Pfeifer, C. ^{[1
]}

Rahiminejad, A. ^{[2
]}

Vahidi, B. ^{[3
]}

机构：

[1] Univ Nat Resources & Life Sci, Dept Mat Sci & Proc Engn, Vienna, Austria

[2] Esfarayen Univ Technol, Dept Elect & Comp Sci, Esfarayen, North Khorasan, Iran

[3] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran

来源：

2ND INTERNATIONAL CONFERENCE ON GREEN ENERGY TECHNOLOGY (ICGET 2017) | 2017年 / 83卷

关键词：

DISTRIBUTION-SYSTEM RECONFIGURATION; POWER LOSS MINIMIZATION; CAPACITOR PLACEMENT; VOLTAGE STABILITY; IMPROVEMENT;

D O I：

10.1088/1755-1315/83/1/012003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, the optimal reconfiguration of smart distribution system is performed with the aim of active power loss reduction and voltage stability improvement. The distribution network is considered equipped with wind turbines and solar cells as Renewable DG's (RDG's). Because of the presence of smart metering devices, the network state is known accurately at any moment. Based on the network conditions (the amount of load and generation of RDG's), the optimal configuration of the network is obtained. The optimization problem is solved using a recently introduced method known as Grey Wolf Optimizer (GWO). The proposed approach is applied on 69-bus radial test system and the results of the GWO are compared to those of Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). The results show the effectiveness of the proposed approach and the selected optimization method.

引用

页数：8

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