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oai:riuma.uma.es:10630/83692026-02-03T12:22:18Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Peralta, Jacobo author Pérez-Ruiz, Juan author De-la-Torre-Fazio, Sebastián Bienvenido author 2014-11-05 This paper presents an algorithm to solve a unit commitment problem that takes into account the uncertainty in the demand. This uncertainty is included in the optimization problem as a joint chance constraint that bounds the minimum value of the probability to jointly meet the deterministic power balance constraints. The demand is modeled as a multivariate, normally distributed, random variable and the correlation among different time periods is also considered. A deterministic mixed-integer linear programming problem is sequentially solved until it converges to the solution of the chanceconstrained optimization problem. Different approaches are presented to update the z-value used to transform the joint chance constraint into a set of deterministic constraints. Results from a realistic size case study are presented and the values obtained for the multivariate normal distribution probability are compared with the ones obtained by using a Monte Carlo simulation procedure http://hdl.handle.net/10630/8369 Ingeniería electrica Unit Commitment with Load Uncertainty by Joint Chance-Constrained Programming