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• W2098490035 abstract "In this paper, a multi-objective design of the multi-machine Power System Stabilizer (PSS) using Ant Colony Optimization (ACO) is proposed. The fine tuning of PSS parameters problem is converted to an optimization problem that is resolved by an ACO-based dominant metaheuristic technique. The strength of the proposed ACO-based PSS is tested on two different multi-machine power systems under diverse operating conditions. The outcomes of the proposed ACOPSS are compared with the Conventional PSS, Genetic Local Search-based PSS, Chaotic Optimization-based PSS and Particle Swarm Optimization-based PSS (PSOPSS). From the simulation results it can be inferred that the ACOPSS reduces the settling time and maximum overshoot more than the other techniques." @default.
• W2098490035 created "2016-06-24" @default.
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• W2098490035 date "2011-09-30" @default.
• W2098490035 modified "2023-09-27" @default.
• W2098490035 title "Optimal design of multi-machine power system stabilizer using robust ant colony optimization technique" @default.
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• W2098490035 doi "https://doi.org/10.1177/0142331211421520" @default.
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