Title :
Monte Carlo computation of power generation production costs under operating constraints
Author :
Valenzuela, Jorge ; Mazumdar, Mainak
Author_Institution :
Dept. of Ind. & Syst. Eng., Auburn Univ., AL, USA
fDate :
11/1/2001 12:00:00 AM
Abstract :
This paper highlights the need for considering the stochastic processes associated with the frequency and duration of generating unit outages for assessing the mean and variance of production costs under operating constraints. A numerical example based on a Markov model is given to show that Monte Carlo estimates of these quantities may be incorrect if only the forced outage rates are used in place of the stochastic parameters underlying the outage frequency and duration. Additionally it describes a variance reduction procedure whereby the Monte Carlo estimates can be obtained with a much smaller sample size than would be required otherwise. A numerical example is given for a small system
Keywords :
Markov processes; Monte Carlo methods; power generation economics; power generation scheduling; stochastic processes; Markov model; Monte Carlo computation; Monte Carlo estimates; forced outage rates; generating unit outages duration; generating unit outages frequency; operating constraints; outage frequency; power generation production costs; production costs; stochastic parameters; stochastic processes; unit commitment; variance reduction procedure; Costs; Financial management; Frequency estimation; Modeling; Monte Carlo methods; Power generation; Predictive models; Production; Steady-state; Stochastic processes;
Journal_Title :
Power Systems, IEEE Transactions on