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- W2792692540 abstract "This study proposed to investigate the application of the Artificial Cuckoo Search (ACS) optimization method on wind energy conversion system control. The problem of regulating standalone wind energy generation unit under severe exogenous conditions of wind speed variation and load demand change is considered. First a generic mathematical model for the proposed generation system is presented. An optimal PID control based on Artificial Cuckoo Search (ACS) algorithm is applied on the system to stabilize the load voltage and the frequency even under turbulence wind condition and diverse load variations. The performance of the wind generation system with the proposed optimal PID control is compared with the case of no control. The simulation results prove that the proposed control technique is feasible for the self-excited induction generator application in remote windy area." @default.
- W2792692540 created "2018-03-29" @default.
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- W2792692540 date "2018-01-15" @default.
- W2792692540 modified "2023-09-26" @default.
- W2792692540 title "Performance Enhancement of an Autonomous Wind Energy Conversion System Based on Artificial Cuckoo Search Algorithm" @default.
- W2792692540 doi "https://doi.org/10.19026/rjaset.15.5288" @default.
- W2792692540 hasPublicationYear "2018" @default.
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