Keywords: UPQC, ANNs, artificial neural networks, FLC, fuzzy logic control, power quality, unified power quality conditioner, adaptive control, hysteresis control, fuzzy control, current control, voltage control, active power filters, APF
Power quality problem mitigation by unified power quality conditioner: an adaptive hysteresis control technique
An adaptive hysteresis current and voltage control technique for controlling Unified Power Quality Conditioner (UPQC) is proposed in this paper. The novelty of the proposed method is the series and shunt active power filters (APF) present in the UPQC has been controlled by the separate adaptive controllers for reducing the voltage and current perturbations. Here, the adaptive control technique utilises Artificial Neural Network (ANN) and Fuzzy Logic Controller (FLC) for generating the control pulses of the series and shunt APFs. In the adaptive control technique, ANN builds a target hysteresis control data based on the inputs such as voltage and current. By using the hysteresis control data, the control parameters are generated by the FLC. According to the output of FLC, PWM pulses are generated for controlling the APFs. The effectiveness of the proposed adaptive hysteresis control technique is identified by using the comparison analysis with the existing techniques.