Investigation of UPQC Performance Using PI and ANN Controller
DOI:
https://doi.org/10.61841/3wbfcy26Keywords:
Power Quality (PQ), unified power quality conditioner (UPQC), Artificial intelligence (AI), artificial neural network (ANN), Current source inverter (CSI), proportional integral (PI), VSIAbstract
Power quality in electrical networks is one of the most concerned areas of present electrical power systems. Unified Power Quality Conditioner (UPQC) is the most efficient and effective modern custom power device used in power distribution networks. A reliable control algorithm provides the best performance of UPQC, and at the same time the switching circuit should have fast response procedures. Artificial neural networks (ANN) are considered as a new tool to design control circuitry for power quality (PQ) devices. In this paper, an ANN-based controller is designed for the current control of the shunt active power filter and is trained offline using data from the conventional proportional-integral (PI) controller. The performance of UPQC using a PI controller and an ANN controller is studied and compared. This performance study is carried out using MATLAB simulations.
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