Electric Power Grids Distribution Generation System for Optimal Location and Sizing-A Case Study Investigation by Various Optimization Algorithms

被引：25

作者：

Ali, Ahmed ^{[1
]}

Padmanaban, Sanjeevikumar ^{[1
]}

Twala, Bhekisipho ^{[1
]}

Marwala, Tshilidzi ^{[1
]}

机构：

[1] Univ Johannesburg, Fac Engn & Built Environm, Dept Elect & Elect Engn Sci, ZA-2006 Auckland Pk, South Africa

来源：

ENERGIES | 2017年 / 10卷 / 07期

关键词：

optimization; simulated annealing; genetic algorithm; power losses; power consumption; SEARCH;

D O I：

10.3390/en10070960

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have been made to the IEEE 34-bus test case and various actual test cases with the respect of multiple Distribution Generation DG units. The possibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been verified. Finally, four algorithms were trailed: simulated annealing (SA), hybrid genetic algorithm (HGA), genetic algorithm (GA), and variable neighbourhood search. The HGA algorithm was found to produce the best solution at a cost of a longer processing time.

引用

页数：13

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