Simultaneous Allocation of Multiple Distributed Generation Units in Distribution Networks Using Chaotic Grasshopper Optimization Algorithm

被引：0
|
作者：
Abdel-Mawgoud, Hussein [1 ]
Kamel, Salah [1 ]
Khasanov, Mansur [2 ]
Nasrat, Loai [1 ]
机构：
[1] Aswan Univ, Dept Elect Engn, Fac Engn, Aswan 81542, Egypt
[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Coll Elect Engn, Chongqing, Peoples R China
来源：
2019 21ST INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON 2019) | 2019年
关键词：
DG; CGOA; optimization; RDS;
D O I：
10.1109/mepcon47431.2019.9007930
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：
Recently, most power system planners are interested to integrate distributed generation (DG) in distribution system to meet the exponential growth in load demand. Integration of DG in distribution system is very important to increase the system capacity through reducing the total power drawn from the electric grid. In this paper, chaotic grasshopper optimization algorithm is used to obtain the optimal locations and sizes of P-type and PQ-type based DG units under variable loads in radial distribution system (RDS). The efficiency of the developed technique is tested on IEEE 33-bus RDS. From simulation results, it's observed that integration of PQ-type gives better results than integration of P-type in RDS. However, the developed technique is more efficient to obtain the best results when compared with other techniques.
引用
收藏
页码：687 / 691
页数：5
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