Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer

被引:23
|
作者
Kamel, Salah [1 ,2 ]
Awad, Ayman [3 ]
Abdel-Mawgoud, Hussein [1 ]
Jurado, Francisco [3 ]
机构
[1] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan, Egypt
[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing, Peoples R China
[3] Univ Jaen, Dept Elect Engn, Jaen, Spain
关键词
Voltage stability; power losses; loadability; distributed generation; gray wolf optimizer; loss sensitivity factor; DISTRIBUTED GENERATION; ALGORITHM;
D O I
10.3906/elk-1805-66
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
High penetration of photovoltaic and wind turbine-based distributed generators (DGs) can help reduce carbon emissions which is an important goal for the whole world. DG can be used to improve the voltage stability, present generation reserve/emergency, and consequently, the system power quality can be improved. However, it is very important to select the right size and location of a DG so that the power system can increase the gained benefits of such an installation to the maximum. In this paper, a hybrid optimization technique is proposed to determine the optimal allocation of DG in the standard IEEE 33-bus radial distribution system in order to improve the voltage stability and minimize the total power loss. The proposed hyprid technique is based on the gray wolf optimizer algorithm with loss sensitivity factor. The performance of the system is analyzed without DG installation, then it is compared with the performance of the system when DGs are installed with the predefined optimal sizes and locations. The study is performed by MATLAB M-Files and NEPLAN software.
引用
收藏
页码:2947 / 2961
页数:15
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