Load forecast uncertainty consideration in generating unit preventive maintenance scheduling for single systems

One basic element in power system planning is the determination of how much generating capacity is required to give a reasonable assurance of satisfying the load requirement. The authors present a new technique based on the statistical moments and cumulants for incorporating load forecast uncertainty into the algorithm for maintenance scheduling in single systems. The proposed algorithm has been implemented in a fast and flexible computer program which has been applied to the IEEE Reliability Test System (RTS) and the Saskatchewan Power Corporation