Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23483
Title: Parallel evolutionary programming for optimal power flow
Authors: Lo, CH
Chung, CY 
Nguyen, DHM
Wong, KP
Keywords: Costing
Evolutionary computation
Load flow
Mathematical programming
Power engineering computing
Issue Date: 2004
Publisher: IEEE
Source: Proceedings of the 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies, 2004 : (DRPT 2004), 5-8 April 2004, v. 1, p. 190-195 How to cite?
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 2.66 GHz 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.
URI: http://hdl.handle.net/10397/23483
ISBN: 0-7803-8237-4
DOI: 10.1109/DRPT.2004.1338491
Appears in Collections:Conference Paper

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