Modelling of a Photovoltaic-Based Grid Supporting Microgrid and Fault Ride-Through Control Application

Abstract

This research paper presents a detailed modeling approach for a grid-supporting microgrid system based on photovoltaic (PV) technology. The study encompasses the development of a comprehensive model that accurately represents the dynamic behavior of the microgrid components, including PV arrays, DC-DC converters, DC-AC inverters, and the grid interface. Emphasis is placed on incorporating fault ride-through control techniques to enhance the microgrid's resilience and maintain an uninterrupted power supply during grid disturbances. The modeling process involves capturing the electrical characteristics and interactions among various system components using suitable mathematical equations and control algorithms. Special attention is given to accurately representing the PV arrays' output characteristics and the converter and inverter dynamics. The resulting model provides a reliable platform for studying the system's behavior under different operating conditions, including normal grid operation and fault scenarios. Furthermore, the study addresses the implementation of fault ride-through control mechanisms to ensure the microgrid's stability and ability to ride through grid faults. Various control strategies, such as voltage and current control, droop control, and active/reactive power control, are investigated and integrated into the system model. These control techniques enable the microgrid to autonomously regulate its power output and maintain stable voltage and frequency levels during grid disturbances, thereby enhancing the microgrid's reliability and gridsupporting capabilities. The proposed modeling and fault ride-through control strategies are evaluated through extensive simulations and analysis. The microgrid's performance under different fault scenarios, including voltage sags, voltage swells, and grid disconnections, is thoroughly assessed to validate the effectiveness of the implemented control strategies. Thus, this study provides valuable insights into a PV-based grid-supporting microgrid's modeling and control aspects, demonstrating the feasibility and effectiveness of fault ride-through control techniques. The findings contribute to the advancement of microgrid technologies and support the integration of renewable energy sources into the existing power grid infrastructure.