Dynamic economic dispatch assessment using particle swarm optimization technique

This paper presents the application of Particle Swarm Optimization (PSO) technique for solving the Dynamic Economic Dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation...

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书目详细资料
发表在:Bulletin of Electrical Engineering and Informatics
主要作者: Othman M.M.; Salim M.A.I.; Musirin I.; Salim N.A.; Othman M.L.
格式: 文件
语言:English
出版: Institute of Advanced Engineering and Science 2018
在线阅读:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052715809&doi=10.11591%2feei.v7i3.1278&partnerID=40&md5=afda2a7fbb32d426e914c47684ca16b7
实物特征
总结:This paper presents the application of Particle Swarm Optimization (PSO) technique for solving the Dynamic Economic Dispatch (DED) problem. The DED is one of the main functions in power system planning in order to obtain optimum power system operation and control. It determines the optimal operation of generating units at every predicted load demands over a certain period of time. The optimum operation of generating units is obtained by referring to the minimum total generation cost while the system is operating within its limits. The DED based PSO technique is tested on a 9-bus system containing of three generator bus, six load bus and twelve transmission lines. Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved.
ISSN:20893191
DOI:10.11591/eei.v7i3.1278