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This paper proposes a hybrid evolutionary algorithm to solve the maintenance-scheduling problem for thermal generating units. The proposed approach uses a hybrid Fuzzy-Genetic Algorithm that implements Fuzzy Knowledge Based System to emulate the power plant personnel's experience, and uncertainties in the constraints, while a Genetic Algorithm optimizes the total generating cost and the maintenance...
In a restructured power system, the problem of maintenance scheduling is different from the traditional centralized power system. This paper is demonstrated how GENCOs (generating companies) in a competitive environment prepare the maintenance schedule of their facilities. Taking into account that in the new structure the main purposes of GENCOs are selling electricity as much as possible and making...
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