Allocation of Distributed Generators Using Parallel Grey Wolf Optimization

被引：3
|
作者：
Younesi, Soheil [1 ]
Ahmadi, Bahman [1 ]
Ceylan, Oguzhan [2 ]
Ozdemir, Aydogan [1 ]
机构：
[1] Istanbul Tech Univ, Dept Elect Engn, Istanbul, Turkey
[2] Kadir Has Univ, Management & Informat Syst Dept, Istanbul, Turkey
来源：
PROCEEDINGS OF 9TH INTERNATIONAL CONFERENCE ON MODERN POWER SYSTEMS (MPS 2021) | 2021年
关键词：
Parallel Computation; Smart grids; Distributed generators; Optimization; Grey Wolf Optimization Algorithm; DISTRIBUTION-SYSTEMS; RECONFIGURATION;
D O I：
10.1109/MPS52805.2021.9492702
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：
This paper solves the allocation problem of distributed generators (DGs) in smart grids utilizing a grey wolf optimization (GWO) algorithm. By parallelizing GWO, it presents the impact of using various number of processors on speedup, efficiency. To decrease the computation time required to perform the simulations, different migration rates are applied for different number of processors. Moreover, the accuracy obtained using different number of processors is analyzed. The simulations are performed for a 33-bus distribution test system using MATLAB's parallel computing toolbox. From the simulation results it is observed that parallel GWO can be used as a tool for distribution system optimization.
引用
收藏
页数：6
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