Generation maintenance scheduling with renewable sources based on production and reliability costs.

• The GMS problem is assessed from the ISO point of view based on GENCOs schedules. • The generation maintenance scheduling problem is assessed from both points of view, ISO and GENCOs. • Production cost and load shedding are minimized ensuring reliability constraints. • Uncertainties of load, generating capacity unavailability and renewable energy are duly modeled. • Non-sequential Monte Carlo simulation and cross entropy methods are properly combined. • The evolution strategy metaheuristic is used as the main tool to solve the problem. This work proposes an efficient method for solving the generation maintenance scheduling (GMS) problem, defined through an interactive process carried out between the independent system operator (ISO) and generation companies (GENCOs). In this problem, starting from a schedule previously informed by GENCOs, it is desired to minimize the expected costs of production and system load shedding for the period of analysis from the ISO point of view. The Evolution Strategy metaheuristic is used to solve the resulting optimization problem. The non-sequential Monte Carlo simulation and Cross-Entropy methods are combined to efficiently assess the maintenance schedules searched during the solving process. Uncertainties related to the behavior of load, unavailability of generation equipment, and variability of renewable energy sources are taken into account in the modeling and solution of the GMS problem. The performance of the proposed method is tested with the IEEE-RTS modified with the inclusion of renewable sources. [ABSTRACT FROM AUTHOR]