Optimal Sizing and Placement of Solar Photovoltaic based DGs in the IEEE 9 bus system using Particle Swarm Optimization Algorithm

被引:0
|
作者
Orenge, Roy [1 ]
Maina, Christopher M. [2 ]
Nyakoe, George N. [3 ]
机构
[1] DeKUT, Dept Elect & Elect Engn, Nyeri, Kenya
[2] Muranga Univ Technol, Dept Elect & Elect Engn, Muranga, Kenya
[3] JKUAT, Dept Elect & Elect Engn, Nairobi, Kenya
来源
2018 IEEE PES/IAS POWERAFRICA CONFERENCE | 2018年
关键词
Solar photovoltaic (SPV); Particle swarm optimization (PSO); 9; bus;
D O I
暂无
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
Solar energy is one of the most commonly exploited renewable resource globally. Integration of power from solar to the main grid can either bring positive or negative impact which normally depends on their size and location. The size and location is very crucial if they will have to solve any problem because not all parts of the system needs more power. In this paper the most appropriate size and location of the solar photovoltaic (SPV) was obtained using Particle swarm optimization (PSO) technique. The IEEE 9 bus system was used and the main objective of this optimization problem was reducing active power losses. The algorithm was applied in a number of cases each with different number of locations of the SPVs. Two different locations proved to be a good option and bus 9 the most optimal.
引用
收藏
页码:114 / 119
页数:6
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