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MAINTENANCE SCHEDULING OF GENERATING FACILITIES IN SINGLE AND INTERCONNECTED POWER SYSTEMS

Date

1983-06

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Degree Level

Doctoral

Abstract

Preventive maintenance of generating facilities is an important factor in overall power system reliability. This thesis introduces a practical method for automated preventive maintenance scheduling using the reserve-levelization criterion. This method allows the system planner to represent and resolve all the relevant constraints imposed on a maintenance schedule. Recursive and non-recursive techniques for building a capacity model for a given power system have been reviewed in this thesis. A technique for performing preventive maintenance scheduling which can recognize the probabilistic effect of the forced outages of the generation system and the variation in the system load has been developed. This technique levelizes the system risk throughout the year. A method for calculating the unit Effective Load Carrying Capability (ELCC) is introduced and a comparison of this method with the other methods reported in the literature is described. The ELCC concept as discussed in the literature has up to the present time only been applied to single systems. A method for calculating the ELCC of generating units in two interconnected areas is presented in this thesis. Many utilities are now firmly interconnected with neighbouring utilities and generating capacity planning is conducted on a fully or semi-integrated basis. This thesis introduces an iterative algorithm for performing maintenance scheduling of generation facilities in interconnected systems. Seasonal diversity exchanges in north-south interconnections offer opportunities for coordinated generation expansion planning between summer and winter peaking utilities. Load diversity exchange and firm energy sale have been modelled using selected power systems. The inclusion of load forecast uncertainty in maintenance scheduling results in enhanced realism in simulating maintenance schedules for long range generation system expansion planning. This thesis presents algorithms for incorporating load forecast uncertainty in maintenance scheduling in single and two interconnected systems. A number of studies have been conducted on selected power systems to illustrate the concepts, methods, and models.

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Degree

Doctor of Philosophy (Ph.D.)

Department

Electrical Engineering

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