Evolutionary Programming Based Optimal Power Flow Algorithm

J. Yuryevich, Kitpo Wong

Research output: Contribution to journalArticle

449 Citations (Scopus)

Abstract

This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.
Original languageEnglish
Pages (from-to)1245 -1250
JournalIEEE Transactions on Power Systems
Volume14
Issue number4
DOIs
Publication statusPublished - 1999

Fingerprint Dive into the research topics of 'Evolutionary Programming Based Optimal Power Flow Algorithm'. Together they form a unique fingerprint.

  • Cite this