Design of Model Predictive Controller for Solar Pv Integrated Upqc Operating with Dual Compensating Strategy

The unified power quality conditioner (UPQC) is installed in the distribution network in order to compensate for power quality problems on the load side and on the grid side at the same time. By connecting the solar system to this equipment, the possibility of providing energy from renewable energy sources is added to its capabilities. The role of an advanced and capable controller in adapting to grid rough conditions and climate change cannot be ignored. Proportional-integral-derivative (PID) controllers performed well in the various control schemes proposed for UPQC. Using this family of controllers for the compensator connected to the photovoltaic system may not be satisfactory under dynamic conditions, and it will also be difficult to adjust the controller's coefficients. Therefore, it is essential to develop a new controller for this device. The development of high-speed microprocessors over the past decade has made it possible to use predictive controllers in power converters. One type of predictive controller is model-based predictive control. The main feature of the model-based predictive control is the use of the system model to predict the future behavior of the controlled variables. According to a predefined optimization criterion, these predictions are used to achieve optimal performance. This document describes the design steps of a model-based predictive controller for PV-UPQC system. The simulation of the designed controller has been performed in MATLAB, and its efficiency has been investigated in different operating conditions