Power Quality Improvement in Three Phase System Using Neural Network Controller Based Unified Power Quality Conditioner
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Abstract
Power quality issues create adverse economical impacts on the consumers and utilities. The main cause of harmonics are the non linear loads. An unified power quality conditioner (UPQC) is used for mitigating the problems of harmonics in voltage as well as current that arise due to nonlinear loads. The UPQC constitutes of both shunt active filter as well as series active filter connected in antiparallel with a common capacitor across the dc side of both the converters.
In this paper, Artificial Neural Network is used as a tool for power quality improvement. Neural network based refernce signal generation is adopted for a series converter. Reference signal for shunt active filter is produced using P-Q theory. Switching signals of the Voltage source inverter (VSI) are produced by incorporating hysteresis current controller. Also neural network based control is adopted for maintining constant voltage across the dc capacitor, since PI controller method exhibits lack of performance when the load meets up with disturbances or changes in parameters. The proposed system’s performance is observed using MATLAB software and the result of proposed UPQC meets the IEEE-519 standard recommendations on harmonic levels.
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