A Novel Technique of PVUPQC System with Ann Controller to Enhance Instantaneous Reactive Power Compensation and To Mitigate Voltage Sags and Swells

An Artificial Neural network-based Unified Power Quality Controller (UPQC) is proposed in this paper. An unbalanced grid voltage and Load voltage are compensated by the UPQC in the power system. This work involves the use of a Unified Power Quality Conditioner (UPQC) based on an ANN controller for its functions with grid integration of photovoltaic, such as voltage sags/ swell, unit power factor correction, voltage, and current harmonic cancelation. The Renewable energy source solar energy is connected to the grid. Here, we have studied the voltage quality improvement methods by using Dynamic Voltage Restorer (DVR), and Unified Power Quality Conditioner (UPQC) using two different controller Strategies. The sensitive equipment might be damaged by harmonics, voltage sag, and swell. These devices are vulnerable to Interference with other elements of the system resulting in input voltage changes. As a result, in the contemporary period, Power quality is becoming more important as the number of sensitive and costly electronic devices grows. To overcome the challenges of non-standard voltage, the Dynamic Voltage restorer (DVR) and Unified Power Quality Conditioner (UPQC) device has been extensively utilized to keep the load voltage stable. The controllers used are Proportional Integral Controller (PIC). A PI Controller calculates an error value as the difference between a measured variable and desired set point. The power system network with the proposed PQ control scheme is investigated and assessed under various scenarios to compensate for severe balanced, unbalanced (voltage sags and swells), and load change and the THD of the Power system was controlled by the UPQC.