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