Comparison of two metaheuristics with mathematical programming methods for the solution of OPF

被引：16

作者：

Biskas, PN ^{[1
]}

Ziogos, NP ^{[1
]}

Tellidou, A ^{[1
]}

Zournas, CE ^{[1
]}

Bakirtzis, AG ^{[1
]}

Petridis, V ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece

来源：

IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 2006年 / 153卷 / 01期

关键词：

D O I：

10.1049/ip-gtd:20050047

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Different optimisation methods developed for the solution of the nonlinear OPF problem with both continuous and discrete variables are compared. Two mathematical, programming methods are compared with two metaheuristics, an enhanced genetic algorithm and a particle swarm optimisation implementation. Test results from the application of the methods to several IEEE systems are presented and compared. Useful conclusions are drawn concerning the execution times and the 'optimum' costs provided by all four tested methods.

引用

页码：16 / 24

页数：9

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