Title :
Short-term reliability of power-system generation
Author :
Surana, S.L. ; Brameller, A.
Author_Institution :
University of Manchester Institute of Science & Technology, Department of Electrical Engineering & Electronics, Manchester, UK
fDate :
5/1/1974 12:00:00 AM
Abstract :
New mathematical models for calculation of time-dependent state probabilities required for evaluation of a shortterm level of reliability to meet a forecasted load demand, under forced outage of generating units, are presented. The calculation of the time-dependent state probabilities of normally operating and standby generators is based on the conventional assumption that the time of units spent in the fully available state is exponentially distributed. Since the time of generator units spent in outage condition is arbitrarily distributed, special methods have been developed that are relatively less complex than the present techniques, more accurate than the conventional assumption of exponential distribution and computationally efficient for practical commercial application
Keywords :
electric power generation; modelling; power systems; reliability; technological forecasting; computationally efficient; electric power generation; forecasted load demand; generator outage; mathematical models; reliability level; short term reliability; state probabilities;
Journal_Title :
Electrical Engineers, Proceedings of the Institution of
DOI :
10.1049/piee.1974.0071