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Optimal Configuration of Power Grid Sources Based on Optimal Particle Swarm Algorithm

被引：0
|
作者：
Wen, Yuanhua [1 ]
机构：
[1] Guangzhou Int Econ Coll, Guangzhou, Guangdong, Peoples R China
来源：
ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II | 2018年 / 1955卷
关键词：
Micro-grid; optimal configuration; particle swarm optimization and Pareto solution set; OPTIMIZATION;
D O I：
10.1063/1.5033695
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
In order to optimize the distribution problem of power grid sources, an optimized particle swarm optimization algorithm is proposed. First, the concept of multi-objective optimization and the Pareto solution set are enumerated. Then, the performance of the classical genetic algorithm, the classical particle swarm optimization algorithm and the improved particle swarm optimization algorithm are analyzed. The three algorithms are simulated respectively. Compared with the test results of each algorithm, the superiority of the algorithm in convergence and optimization performance is proved, which lays the foundation for subsequent micro-grid power optimization configuration solution.
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页数：6
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