Title :
Application of genetic based algorithms to optimal capacitor placement
Author :
Ajjarapu, Venkataramana ; Albanna, Zaid
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Abstract :
Reactive power dispatch problem is still an active problem in the area of power system operation. Finding an optimum solution that provides a balance between system performance and the cost associated with the reactive power placement (in terms of improved voltage profile and voltage stability) is essential. The objective of the research is to explore the applicability of a new emerging global optimization technique, called a genetic algorithm to the reactive power dispatch problem. The algorithm is based on the mechanics of natural selection and has been tested in other fields with promising results
Keywords :
genetic algorithms; load dispatching; neural nets; power capacitors; power engineering computing; power systems; reactive power; capacitor placement; cost; genetic algorithm; global optimization; load dispatching; natural selection; performance; power capacitors; power engineering computing; power systems; reactive power; voltage profile; voltage stability; Application software; Capacitors; Cost function; Genetic algorithms; Power system economics; Power system restoration; Power system stability; Reactive power; Testing; Voltage;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213468