Abstract
The main objective of this paper is to develop a model for automatic scheduling of outages tasks for maintenances using Artificial Intelligent tool (Tabu Search). The developed method of TS is used to reduce maintenance outages for electrical power system with high standard of reliability. The developed method solved the maintenance outages with taking in consideration two main problems. The first one is power flow constraints and contingency studies constrains. The second problem is the number of the crews. The developed method for automatic scheduling of maintenance outage tasks using TS is systematically applied to reconfiguration of networks and work starting date scheduling. The works progress is maximized in the scheduling period while minimized the carry-over work to the next scheduling period. The developed method was used in 20-bus test system.
Highlights
Modern industrialized societies depend on the availability of a reliable supply of electricity to sustain their functions and standards of living
The main objective of this paper is to develop a model for automatic scheduling of outages tasks for maintenances using Artificial Intelligent tool (Tabu Search)
The works progress is maximized in the scheduling period while minimized the carry-over work to the scheduling period
Summary
Modern industrialized societies depend on the availability of a reliable supply of electricity to sustain their functions and standards of living. These expansions made the electric power systems and their operations the most complex systems of today's civilization, due to the highly nonlinear and computationally difficult environment involved (Furukawa et al, 1991). The planning and operation of these systems should be as efficient, optimal as possible, with high reliability and with low costs. Maintenance scheduling in transmission and distribution systems is occupying a small portion of the literature. This was the motivation to study this subject
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