Genetic algorithms to solve the power system restoration planning problem |
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Authors: | Adelmo L Cechin José V Canto dos Santos Carlos A Mendel Arthur T Gómez |
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Affiliation: | 1.PIPCA, UNISINOS,S?o Leopoldo,Brazil |
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Abstract: | This study reports the use of a Genetic Algorithm (GA) to solve the Power System Restoration Planning Problem (PSRP). The
solution to the PSRP is described by a series of operations or a plan to be used by the Power System operator immediately
on the occurrence of a blackout in the electrical power supply. Our GA uses new initialization and crossover operators based
on the electrical power network, which are able to generate and maintain the plans feasible along GA runs. This releases the
Power Flow program, which represents the most computer demanding component, from computing the fitness function of unfeasible
individuals. The method was designed for large transmission systems and results for three different electrical power networks
are shown: IEEE 14-Bus, IEEE 30-Bus, and a large realistic system. |
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Keywords: | Genetic algorithms Electric power systems Power system restoration planning |
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