An introduction to algorithms for improving the economic posture of a utility company in a restructured power system by promoting cost-effective maintenance schedules, the text offers a logical alternative to traditional electric utility maintenance practices and a basis for making maintenance decisions. Maintenance scheduling problems are formulated as decomposed problems. This signifies the nature of restructured power systems with self-interested entities and optimizes potential revenues while meeting constraints such as fuel schedules, emission constraints, hourly load demands, and network limits. Co-ordination of short and long-term maintenance scheduling is also presented. The book shows by numerous derivations and examples that careful planning and good co-ordination among self-interested entities in restructured power systems are essential to achieving an optimal trade-off between the cost of maintenance and service reliability. "Maintenance Scheduling in Restructured Power Systems" includes a variety of models, solutions and ideas that should be of interest to engineers, consultants, manufacturers, students, and others working and studying in the utility field.
I. Introduction.- II. Mathematical Review.- III. Long-Term Generation Maintenance Scheduling.- IV. Short-Term Generation Scheduling.- V. Coordination between Long-Term and Short-Term Generation Scheduling.- VI. Long-Term Transmission Maintenance Scheduling.- VII. Coordination between Long-Term and Short-Term Transmission Maintenance Scheduling.- VIII. Coordination between Generation and Transmission Maintenance Scheduling.- IX. Application of Short-Term Scheduling to Photovoltaic-Utility Grid.- A. IEEE-RTS System Data.- B. Production Cost Model.- C. Photovoltaic System Model.- D. Monte-Carlo Sampling Algorithm with Generalized Regression.- E. IEEE 118-Bus Test System Data.