DocumentCode :
2366721
Title :
Generation reliability evaluation incorporating maintenance scheduling and load forecasting
Author :
Nayak, A.K. ; Mohanta, D.K. ; Reddy, M. Jaya Bharata
Author_Institution :
Dept. of EEE, Birla Inst. of Technol., Ranchi, India
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
485
Lastpage :
489
Abstract :
Reliability evaluation at the generation level plays an important role in the electric power system. A deterministic method known as levelised reserve method has been used to evaluate the reliability. Multi class maintenance scheduling has been optimized using genetic algorithm (GA) for thermal generating units considering statutory safety norms. The case studies pertaining to power grid of Orissa State in India validate the efficacy.
Keywords :
genetic algorithms; load forecasting; maintenance engineering; power generation reliability; power generation scheduling; power grids; thermal power stations; India; Orissa State; deterministic method; electric power system; generation reliability evaluation; genetic algorithm; levelised reserve method; load forecasting; multiclass maintenance scheduling; power grid; statutory safety norms; thermal generating units; Genetic algorithms; Load forecasting; Maintenance engineering; Power generation; Power system reliability; Reliability; Safety; GA; Generation reliability evaluation; levelised reserve method; load forecasting; maintenance scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221426
Filename :
6221426
Link To Document :
بازگشت