Analytical and particle swarm optimization algorithms for optimal allocation of four different distributed generation types in radial distribution networks

被引:0
作者
Tawfeek, T. S. [1 ]
Ahmed, A. H. [2 ]
Hasan, S. [2 ]
机构
[1] Minist Housing, Cent Author Reconstruct, Cairo, Egypt
[2] Helwan Univ, Dept Elect Engn, Fac Engn, Cairo, Egypt
来源
5TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH (ICEER 2018) | 2018年 / 153卷
关键词
radial distribution networks; distributed generation; analytical approach; particle swarm optimisation;
D O I
10.1016/egypro.2018.10.030
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, two algorithms, analytical and particle swarm optimization (PSO), are introduced and compared with each other for optimal allocation of distributed generation (DG) units in radial distribution networks (RDNs) to minimize the total loss in real power. Four different types of DG units are considered in this work. The two algorithms make use of a backward / forward load flow method for the load flow analysis of the RDN by which the node voltages and the total active power loss of the network are determined. The introduced algorithms are tested on the IEEE 41 bus radial distribution system and the results are obtained using MATLAB. Discussions are provided based on the results of case studies. (C) 2018 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:86 / 94
页数:9
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