Title :
A genetic algorithm approach for load shedding in an industrial cogeneration power plant
Author :
Kalam, A. ; Chakrabarti, T. ; Muttucumaru, R.
Author_Institution :
Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
Abstract :
This paper presents a genetic algorithm approach for load shedding in an industrial power plant with cogeneration in operation. Different scenarios requiring load shedding are discussed as well as the fundamentals of the genetic algorithm approach. A comparative performance of results obtained are discussed with that of a journal paper. Further investigations and conclusions made are discussed
Keywords :
cogeneration; genetic algorithms; load shedding; coding; comparative performance; crossover; fitness; genetic algorithm approach; industrial cogeneration power plant; load shedding; mutation; selection; Circuits; Cogeneration; Electricity supply industry; Electronics industry; Energy consumption; Frequency; Genetic algorithms; Genetic engineering; Industrial electronics; Power generation;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
DOI :
10.1109/IECON.1996.565988
