Title :
A basic framework for generating system operating health analysis
Author :
Billinton, Roy ; Fotuhi-Firuzabad, Mahmud
Author_Institution :
Power Syst. Res. Group, Saskatchewan Univ., Saskatoon, Sask., Canada
fDate :
8/1/1994 12:00:00 AM
Abstract :
A probabilistic technique is presented in this paper to assess the operating reserve requirements in a system. In this approach, the generation system is classified into different system operating states. This technique combines deterministic with probabilistic indices to monitor the well-being. The system well-being as designated by deterministic criteria are identified as being healthy, marginal and at risk. A risk index designated as the generating system operating state risk (GSOSR) is defined in this paper as the probability of residing in an undesirable operating state. Technique together with the effect on the GSOSR and the system operating state probabilities of factors such as lead time, system peak load, load forecast uncertainty and generating unit derated states are illustrated by application to the IEEE-RTS (reliability test system)
Keywords :
electric power generation; power system control; probability; risk management; IEEE reliability test system; deterministic indices; generating system operating health analysis; generating system operating state risk; generating unit derated states; lead time; load forecast uncertainty; operating reserve requirements; probabilistic indices; probabilistic technique; risk index; system peak load; undesirable operating state; Control systems; Interconnected systems; Load forecasting; Monitoring; Power system analysis computing; Power system restoration; Power system security; Power systems; Stochastic systems; Uncertainty;
Journal_Title :
Power Systems, IEEE Transactions on