@inproceedings{fef300a0a6bc43439eacc8655872a6f1,
title = "Parallel evolutionary programming for optimal power flow",
abstract = "This paper proposes a parallel evolutionary programming (EP) approach for solving the optimal power flow (OPF) problem. The parallel EP-OPF approach is less sensitive to the choice of starting points and types of generator cost curves. The developed algorithm is implemented on a Beowulf cluster with 31 Intel Pentium IV 2.66GHz processors which are arranged in master-slave structure. The proposed approach has been tested on the IEEE 30- and 118-bus systems. Computational speedup and performance of the master-slave topology is then compared to those of the sequential EP approach.",
keywords = "Evolutionary Programming, Optimal Power Flow, Optimization",
author = "Lo, {C. H.} and Chung, {C. Y.} and Nguyea, {D. H.M.} and Wong, {K. P.}",
year = "2004",
month = apr,
language = "English",
isbn = "0780382374",
series = "Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)",
pages = "190--195",
booktitle = "Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004)",
note = "Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies (DRPT2004) ; Conference date: 05-04-2004 Through 08-04-2004",
}