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- W2803740974 abstract "This study presents an approach to build a reduced-order model (ROM) for the governor control systems of diesel-engine generators in an island power system. The hybrid particle swarm optimisation (PSO) is used in the parameter identification of the ROM. The reduced-order governor system model could be a useful and feasible model in the stability analysis of the island power system by using power system simulator for engineering. The results of the ROM and a sixth-order model have been compared. It is found that the ROM with the parameter values identified using the hybrid PSO is robust. Moreover, real-case validation of the ROM shows that it is usable to analyse stability and contingency in the power system." @default.
- W2803740974 created "2018-06-01" @default.
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- W2803740974 date "2018-07-09" @default.
- W2803740974 modified "2023-10-17" @default.
- W2803740974 title "Parameters identification of reduced governor system model for diesel‐engine generator by using hybrid particle swarm optimisation" @default.
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- W2803740974 doi "https://doi.org/10.1049/iet-epa.2017.0851" @default.
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