DocumentCode
3508763
Title
Optimal VAr allocation by genetic algorithm
Author
Iba, Kenji
Author_Institution
Mitsubishi Electric Corp., Hyogo, Japan
fYear
1993
fDate
1993
Firstpage
163
Lastpage
168
Abstract
Keeping up with the times and computer technology, many researchers have applied new mathematical approaches extensively to solve various problems in power systems. AI technology, fuzzy theory and artificial neural networks are recent trends. This paper presents a new optimization method for reactive power planning using genetic algorithms. The genetic algorithm (GA) is a kind of search algorithm based on the mechanics of natural selection and genetics. This algorithm can search for a global solution using a multiple path and have a structure fit to integer problems. The proposed method was applied to practical 51-bus and 224-bus systems to show its feasibility and capabilities.
Keywords
genetic algorithms; power engineering computing; power system planning; reactive power; AI; artificial neural networks; fuzzy theory; genetic algorithm; global solution; natural selection; optimisation; power engineering computing; power system planning; reactive power; search algorithm; Artificial intelligence; Capacitors; Genetic algorithms; Inductors; Linear programming; Load flow; Power system control; Power system planning; Reactive power; Shunt (electrical);
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location
Yokohama, Japan
Print_ISBN
0-7803-1217-1
Type
conf
DOI
10.1109/ANN.1993.264296
Filename
264296
Link To Document