Solving Unit Commitment and Security Problems by Particle Swarm Optimization Technique

被引：1

作者：

Borra, Venkata Silpa ^{[1
]}

Debnath, K. ^{[1
]}

机构：

[1] Charles Darwin Univ, Coll Engn IT & Environm, Darwin, NT, Australia

来源：

2019 IEEE PES GTD GRAND INTERNATIONAL CONFERENCE AND EXPOSITION ASIA (GTD ASIA) | 2019年

关键词：

Distributed generation; renewable energy; microgrid; particle swarm optimization; unit commitment;

D O I：

10.1109/gtdasia.2019.8715898

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：

This paper presents Particle Swarm Optimization (PSO) technique for solving the Unit Commitment (UC) and security problems in Microgrid Central Energy Management System. Two faults were allowed to occur randomly in a generation system. PSO was required to identify the faults themselves and allocate adequate generation from other subsystems. A MATLAB program was written to solve the generation faults and UC problems. PSO is implemented in several cases with simultaneous double faults. It was noted that PSO was applied successfully in all cases.

引用

页码：740 / 745

页数：6

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