Optimal Planning of Distributed Generation Using Improved Grey Wolf Optimizer and Combined Power loss Sensitivity

被引:2
|
作者
Sodani, Mohamed [1 ]
Aly, Hamed H. [1 ]
Little, Timothy A. [1 ]
机构
[1] Dalhousie Univ, Elect & Comp Engn, Halifax, NS, Canada
来源
2021 IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE) | 2021年
关键词
Distributed Generation; Optimization; Improved Grey Wolf Optimizer; Multi-Objective Function; OPTIMAL PLACEMENT; DG;
D O I
10.1109/CCECE53047.2021.9569041
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper introduces a hybrid method for finding the best location and size of distribution generation (DG) sources in a distribution system. The strategy employs Combined Power Loss Sensitivity (CPLS) and the algorithm Improved Grey Wolf Optimizer (I-GWO), with CPLS determining candidate locations for DG, and I-GWO determining the best location and size based on CPLS suggestions for candidate buses. The overall aim of this approach is to improve system stability, enhance voltage profile, and minimize power loss. The work evaluates the novel strategy using IEEE-33 and IEEE-69 bus radial distribution systems and investigates three kinds of DG to make comparisons of key efficiency and performance metrics. The test results show that, in comparison to Other optimization methods, the proposed hybrid approach with multi-objective functions offers optimal results.
引用
收藏
页数:6
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