Optimal Power Flow Method Using Evolutionary Programming

Kitpo Wong, J. Yuryevich

Research output: Chapter in Book/Conference paperChapter

6 Citations (Scopus)

Abstract

This paper reports on an evolutionary programming based method for solving the optimal power flow problem. The method incorporates an evolutionary programming based load flow solution. To demonstrate the global optimisation power of the new method it is applied to the IEEE30 bus test system with highly non-linear generator input/output cost curves and the results compared to those obtained using the method of steepest descent. The results demonstrate that the new method shows great promise for solving the optimal power flow problem when it contains highly non-linear devices.
Original languageEnglish
Title of host publicationSimulated Evolution and Learning
EditorsB. Yao McKay, X. Newton, C.S. Kim, J.H. Furuhashi, T.
Place of PublicationBerlin Heidelberg
PublisherSpringer
Pages405-412
Volume1
Edition1
ISBN (Print)3540659072
Publication statusPublished - 1999

Publication series

NameLecture notes in Artificial Intelligence

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Wong, K., & Yuryevich, J. (1999). Optimal Power Flow Method Using Evolutionary Programming. In B. Y. McKay, X. Newton, C. S. Kim, J. H. Furuhashi, & T. (Eds.), Simulated Evolution and Learning (1 ed., Vol. 1, pp. 405-412). (Lecture notes in Artificial Intelligence). Berlin Heidelberg: Springer.