Congestion management based on particle swarm optimization

被引：0

作者：

Chen, Zhi xu ^{[1
]}

Zhang, Li zi ^{[1
]}

Shu, Jun ^{[1
]}

机构：

[1] N China Elect Power Univ, Beijing, Peoples R China

来源：

IPEC: 2005 INTERNATIONAL POWER ENGINEERING CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

electricity market; congestion management; PSO; interior point method; Genetic Algorithm; double fitness value;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

After analyzing the regulation of North East China electricity market and the constraint of safe operation of unit and transmission grid, this paper proposes a congestion management model that is appropriate for power pool. PSO(Particle Swarm Optimizer) is introduced to solve the complex nonlinear model. The results caused by different PSO parameters are analyzed through using IEEE30 bus system. As shown in the results, relief congestion using PSO is proved to be effective, which excels curtailment congestion using interior point method and Genetic Algorithm.

引用

页码：1019 / 1023

页数：5

共 20 条

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