A novel approach for maintenance scheduling of generating units in a competitive environment

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, at proper time according to the market clearing price forecast. Various technical constraints such as generation capacity, duration of maintenances and maintenance continuity are being taken into account. The objective function of ISO is to maximize the reliability throughout the year; provided the energy purchase cost should be smaller than 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

[1]  Wang Peng,et al.  Research on multi-objective optimum model of unit maintenance scheduling under the condition of electricity market , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[2]  Michael Negnevitsky,et al.  Maintenance scheduling in power systems using genetic algorithms , 1999, PowerTech Budapest 99. Abstract Records. (Cat. No.99EX376).

[3]  Michael Negnevitsky,et al.  Application of genetic algorithms for maintenance scheduling in power systems , 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

[4]  Mohammad Shahidehpour,et al.  Maintenance Scheduling in Restructured Power Systems , 2000 .

[5]  M. Shahidehpour,et al.  Restructured Electrical Power Systems: Operation: Trading, and Volatility , 2001 .

[6]  Roy Billinton,et al.  Short-term generating unit maintenance scheduling in a deregulated power system using a probabilistic approach , 2003 .

[7]  A.J. Conejo,et al.  Generation maintenance scheduling in restructured power systems , 2005, IEEE Transactions on Power Systems.

[8]  Jong-Bae Park,et al.  A new game-theoretic framework for maintenance strategy analysis , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).