VARIOUS CONTROL STRATEGIES FOR UPQC ENHANCEMENT TO MITIGATE PQ ISSUES
industrial electrical power systems
The improved UPQC device performance can be enhanced by PQ, voltage swell, with the optimal values for converter of UPQC its presentation can be meaningfully enhanced PQ. In contribution of this paper numerous intelligent projected methods have been implemented to enhance UPQC device PQ problems. The numerous intelligent methods are Artificial Neural Network (ANN) controller, Fuzzy Logic Controller (FLC) controller, Neuro Fuzzy Controller (NFC) and Adaptive Neuro Fuzzy Interference System (ANFIS). In addition numerous optimization control methodologies are used to series active power filters and shunt active power filters. The intelligent control methods will be implemented in the MATLAB/Simulink platform and the efficacy of the proposed technique is investigated via the comparison investigation with the conventional methods. The performance of adaptive ANFIS is used for enlightening the performance of PQ of the UPQC device. Lastly, the projected method of simulation is investigated and to mitigate the voltage sag/ swell in UPQC device than the available approaches.
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