The effect of load uncertainty on unit commitment risk Export

@article{citeulike:715535, abstract = {This paper describes a method for analyzing the effect of load uncertainty on unit commitment risk, which is the probability of having insufficient committed capacity to compensate for unit failures and/or unanticipated load variation. This risk is evaluated using the usual Markov model for unit failures and a Gauss-Markov load model for load uncertainty. A rescheduling policy is essential for stochastic risk evaluation; thus one is described in this paper. The risk and the average operating reserve are evaluated using Monte Carlo simulation, and the Monte Carlo simulation is applied to the IEEE-RTS in order to demonstrate the effect of load uncertainty on the risk and on the average amount of required operating reserve. This paper is the first to combine a stochastic load model with the usual Markov unit failure model for unit commitment risk evaluation}, author = {Zhai, D. and Breipohl, A. M. and Lee, F. N. and Adapa, R.}, citeulike-article-id = {715535}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/59.317572}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=317572}, doi = {10.1109/59.317572}, journal = {Power Systems, IEEE Transactions on}, keywords = {energy, fuzzy-logic, markov-process, monte-carlo-method, unit-commitment}, number = {1}, pages = {510--517}, posted-at = {2006-06-29 12:05:42}, priority = {2}, title = {The effect of load uncertainty on unit commitment risk}, url = {http://dx.doi.org/10.1109/59.317572}, volume = {9}, year = {1994} }

TY - JOUR ID - citeulike:715535 L3 - citeulike-article-id:715535 N2 - This paper describes a method for analyzing the effect of load uncertainty on unit commitment risk, which is the probability of having insufficient committed capacity to compensate for unit failures and/or unanticipated load variation. This risk is evaluated using the usual Markov model for unit failures and a Gauss-Markov load model for load uncertainty. A rescheduling policy is essential for stochastic risk evaluation; thus one is described in this paper. The risk and the average operating reserve are evaluated using Monte Carlo simulation, and the Monte Carlo simulation is applied to the IEEE-RTS in order to demonstrate the effect of load uncertainty on the risk and on the average amount of required operating reserve. This paper is the first to combine a stochastic load model with the usual Markov unit failure model for unit commitment risk evaluation IS - 1 JF - Power Systems, IEEE Transactions on EP - 517 TI - The effect of load uncertainty on unit commitment risk VL - 9 SP - 510 KW - energy KW - fuzzy-logic KW - markov-process KW - monte-carlo-method KW - unit-commitment AU - Zhai, D AU - Breipohl, AM AU - Lee, FN AU - Adapa, R PY - 1994/// UR - http://dx.doi.org/10.1109/59.317572 ER -