Stochastic unit maintenance model of power prouducers considering market price uncertainty

This paper presents a day-based stochastic unit maintenance schedule (UMS) model for power producers to optimize their payoffs, considering the uncertainty of market prices. In the proposed model, the producer´s benefits include the expected energy-selling profits in energy market and maintenance costs in each period. An effective Monte Carlo simulation based on latin hypercube sampling (LHS-MC) is adopted to evaluate the related risk associated with uncertain energy prices. Then, the proposed UMS issue can be solved via a combination of genetic algorithms and linear programmings. Finally, numerical examples on a four-unit producer are utilized to illustrate the usefulness of the presented scheme.