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• W2081830900 abstract "Power-system load-frequency control by fuzzy-PI (FPI) controller is proposed. During control, a fuzzy system is used to decide adaptively the proper proportional and integral gains of a PI controller according the area-control error and its change. To ease the design effort and improve the performance of the controller, design of the FPI controller by hybridising a genetic algorithm and particle-swarm optimisation, called FPI–HGAPSO, is proposed. FPI–HGAPSO is based on the hybrid of the genetic algorithm and particle-swarm optimisation. In FPI–HGAPSO, elites in the population of GAs are enhanced by particle-swarm optimisation and these enhanced elites are selected as parents for crossover and mutation operations. Simulations of the proposed evolutionary FPI-control approach on a multiarea interconnected power system with different kinds of perturbations are performed. The performance of the proposed approach is verified from simulations and comparisons." @default.
• W2081830900 created "2016-06-24" @default.
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• W2081830900 date "2006-01-01" @default.
• W2081830900 modified "2023-10-16" @default.
• W2081830900 title "Load-frequency control by hybrid evolutionary fuzzy PI controller" @default.
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• W2081830900 doi "https://doi.org/10.1049/ip-gtd:20050176" @default.
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