Optimal Reactive Power Dispatch by Success History Based Adaptive Differential Evolution Salp Swarm Algorithm

被引：1
|
作者：
Kumar, Naveen [1 ]
Kumar, Ramesh [1 ]
机构：
[1] Natl Inst Technol, Dept Elect Engn, Patna 800005, Bihar, India
来源：
ASIAN JOURNAL OF WATER ENVIRONMENT AND POLLUTION | 2022年 / 19卷 / 06期
关键词：
Renewable energy; solar photovoltaic plant; windfarm; environment; reactive power dispatch; real power loss; total voltage deviation; SHADE-SSA; WIND;
D O I：
10.3233/AJW220083
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
In this study, a novel hybrid algorithm success history-based adaptive differential evolution salp swarm algorithm (SHADE-SSA) is proposed to solve two different cases of IEEE 30 bus reactive power dispatch problems integrated with thermal generators, wind farms and solar photovoltaic plants. Real power loss minimization and voltage deviation minimization are considered as main objectives in the present work. The performance and robustness of the proposed hybrid SHADE-SSA algorithm are compared with the results of five different metaheuristic algorithms for the same test system and consider the same control variables and constraints. The results of the simulation of the proposed algorithm conform to the effective choice for the solution of optimal reactive power dispatch problems of power systems.
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页码：11 / 18
页数：8
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