Title :
Advanced constrained genetic algorithm load flow method
Author :
Wong, K.P. ; Li, A. ; Law, T.M.Y.
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
fDate :
11/1/1999 12:00:00 AM
Abstract :
An efficient and reliable constrained genetic algorithm based load flow algorithm is developed. The components and the constraint satisfaction methods in the algorithm are presented. A nodal voltage differential technique and a gradient method are developed to accelerate the solution process in the algorithm. A method for dealing with generator reactive power limits is also developed. The new algorithm can detemine multiple load flow solutions and can be used to determine the loadability limits of transmission systems. Its power is demonstrated through its applications to evaluate the loadability of the IEEE 30-, 57- and 118-node systems. Detailed results on the 30-node system are presented
Keywords :
genetic algorithms; load flow; power systems; reactive power; IEEE 118-node system; IEEE 30-node system; IEEE 57-node system; constrained genetic algorithm load flow method; generator reactive power limits; gradient method; load flow algorithm; loadability limits; multiple load flow solutions; nodal voltage differential technique; transmission systems;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19990638
