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A New Adaptive Neuro-Fuzzy Inference System (ANFIS) and PI Controller to Voltage Regulation of Power System Equipped by Wind Turbine

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dc.contributor.author Issam Griche
dc.date.accessioned 2021-09-08T10:02:06Z
dc.date.available 2021-09-08T10:02:06Z
dc.date.issued 2021
dc.identifier.uri http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/25649
dc.description.abstract In this paper, new Adaptive Neuro-Fuzzy Inference System (ANFIS) and PI controller have been proposed and investigated which the power system is equipped by Static Var Compensator (SVC) and small wind turbine. The SVC is controlled by PI controller optimized by genetic algorithm (GA) to regulate the voltage profile. To demonstrate the efficiency of proposed controller, a Single Machine Infinite Bus (SMIB) has been considered, in which small fluctuation of mechanical damped has been applied to improve the transient stability and has been evaluated using a relative rotor criteria. Obtained results have demonstrated a better performance with ANFIS and PI controller in which both voltage and transient stability have been controlled perfectly en_US
dc.publisher Université de M'sila en_US
dc.title A New Adaptive Neuro-Fuzzy Inference System (ANFIS) and PI Controller to Voltage Regulation of Power System Equipped by Wind Turbine en_US
dc.type Thesis en_US


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