期刊
ELECTRIC POWER COMPONENTS AND SYSTEMS
卷 36, 期 3, 页码 280-298出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/15325000701603942
关键词
differential evolution; optimal power flow; parallel processing; PC cluster; security constraints
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.
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