Performing ANN Fault Tolerant Control-Based Dynamic Voltage Restorer Over a PV Tied Microgrid in Accordance with the New Moroccan Grid Code Requirements

The quality of the power provided to the final customer is the most important part of the electrical energy supplied by distribution networks. This parameter is also increasingly required by most grid codes all around the world. Dynamic Voltage Restorers (DVRs) are devices that offer multiple advantages for power quality improvement of distribution networks and are very cost-effective in comparison with other power electronics-based devices. They are part of widely adopted distribution flexible AC transmission systems (D-FACTS) used to inject mainly voltages into the distribution line to support the voltage profile and ensure the constant load requirement. In this chapter, a fault-tolerant DVR-based strategy is proposed to ensure power quality improvement to feed a sensitive load near a Point of Common Coupling (PCC) of a photovoltaic (PV) power plant connected to the Medium Voltage (MV) grid. The proposed strategy is based on the implementation of an improved Artificial Neural Network (ANN) control, which is compared to a classic Proportional-Integral (PI) controller. The approach intends to meet the technical requirements of the newly approved Grid Code in Morocco. The simulation is performed using the MATLAB Simulink program, and the obtained results show better behavior of the system using the ANN control strategy in the presence of a nonlinear load and a significant improvement of the voltage Total Harmonic Distortion (THD).