Security-constrained optimal power flow: A parallel self-adaptive differential evolution approach

被引：11

作者：

Thitithamrongchai, C. ^{[1
]}

Eua-Arporn, B. ^{[1
]}

机构：

[1] Chulalongkorn Univ, Power Syst Res Lab, Dept Elect Engn, Bangkok 10330, Thailand

来源：

ELECTRIC POWER COMPONENTS AND SYSTEMS | 2008年 / 36卷 / 03期

关键词：

differential evolution; optimal power flow; parallel processing; PC cluster; security constraints;

D O I：

10.1080/15325000701603942

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：

This article proposes a parallel self-adaptive differential evolution with augmented Lagrange multiplier method (pSADE_ALM) to solve security-constrained optimal power flow (SCOPF) problems. The proposed pSADE_ALM is a modified version of sequential self-adaptive differential evolution (SADE_ALM) by exploiting parallel processing techniques to increase the search capability of the algorithm via PC cluster 3 x 2.8 GHz Pentium IV processors. An IEEE 30-bus system is investigated based on two cases, i.e., (1) the base-case optimal power flow (OPF) problems and (2) the SCOPF problems. The proposed pSADE_ALM shows very impressive results compared with others, e.g., gradient-based methods, tabu search-based methods, evolutionary programming (EP), improved evolutionary programming (IEP), and SADE_ALM.

引用

页码：280 / 298

页数：19

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