A computationally efficient optimal maintenance scheduling method

Journal Article · Tue Feb 01 04:00:00 EST 1983 · IEEE Trans. Power Appar. Syst.; (United States)

DOI:https://doi.org/10.1109/TPAS.1983.317771· OSTI ID:6005334

Yamayee, Z; Sidenblad, K; Yoshimura, M

This paper addresses the optimal preventive maintenance scheduling problem (OMSP). The importance of OMSP is due to the fact that system reliability and operating cost of an electric utility are affected by the maintenance outage of generating facilities. The authors present a multi-component objective function consisting of reliability and production cost which incorporates uncertainties such as load uncertainties and forced outages of generating units. Dynamic Programming (DP) which is most suitable for sequential decision problems is used as a framework to solve the OMSP. The dimensionality problem, a serious drawback of DP, is reduced by converting it into an iteratively, monotonically converging technique of DP successive approximations (DPSA). To further reduce the computational time, the stage cost function (reliability index LOLP and production cost) is evaluated by cumulant method. This method is an order of magnitude faster than the classical Booth-Baleriaux method. The approach has been programmed on a VAX 11/780 and applied to a twenty-one unit system. A scheduling horizon of one year and a stage length of one week were used. The results show that reliability is a more appropriate objective function than production cost.

• Research Organization: Systems Control, Inc., Palo Alto, CA
• OSTI ID: 6005334
• Journal Information: IEEE Trans. Power Appar. Syst.; (United States), Journal Name: IEEE Trans. Power Appar. Syst.; (United States) Vol. 102:2; ISSN IEPSA
• Country of Publication: United States
• Language: English

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