R. Eshraghnia - Master of Engineering, Department of Electrical Engineering Ferdowsi University of Mashhad Iran
M.H. Modir Shanechi - Associate Professor
H. Rajabi Mashhadi - Assistant Professor

In this paper, a new approach for maintenance scheduling of generating units of GENCOs in competitive environment is presented. In this environment, management of GENCOs and grid is separated, each maximizing its own benefit. The objective function for the GENCO is to sell electricity as much as possible, according to the market clearing price forecast. Various technical constraints such as generation capacity, duration of maintenances and maintenance continuity are being taken in to account. The objective function of ISO is to maximize the reliability throughout the weeks of year; subject to the energy purchase cost doesn’t increase from a predetermined amount when the units of GENCOs are out for maintenance. Therefore there are two objective functions for finding an optimum maintenance schedule in restructured power systems. In this paper we apply Genetic Algorithm methodology for finding the optimum preventive maintenance schedule of generating units.

maintenance scheduling, market clearing price, genetic algorithm, energy purchase cost