Multi-objective Optimal Power Flow Solution Using CSVPSO

被引：0

作者：

Zhang, Xiaoli ^{[1
]}

Li, Jinghua ^{[1
]}

Sun, Bowei ^{[1
]}

机构：

[1] Dalian Power Supply Co, State Grid Liaoning Elect Power Co Ltd, Dalian, Peoples R China

来源：

2024 THE 9TH INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY, ICPRE | 2024年

关键词：

Optimal power flow; multi-objective; CSVPSO;

D O I：

10.1109/ICPRE62586.2024.10768576

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：

Optimal power flow (OPF) is essential for achieving the objectives of maximizing power security as well as minimizing fuel costs and emission amount of thermal plants. Few studies focus on the collaborative optimization of multi-objective OPF problems. In this paper, we improve the traditional particle swarm optimization (PSO) and adopt PSO of constriction ranges of search space and velocity (CSVPSO) to solve the problem. The problem is simulated on IEEE-30 node system. The result shows the advantages of this algorithm.

引用

页码：1618 / 1621

页数：4

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