Modeling and Fault Ride-Through Control Strategy for Grid-Supporting Photovoltaic-Based Microgrids

-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 grid-supporting 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.

[1]  T. Ishiyama Indoor Photovoltaic Energy Harvesting and Power Management for IoT Devices , 2022, 2022 11th International Conference on Renewable Energy Research and Application (ICRERA).

[2]  M. Shoyama,et al.  Model Predictive Control Based Improved Techno-Economic Control Strategy for Photovoltaic-Battery Microgrids , 2022, 2022 11th International Conference on Renewable Energy Research and Application (ICRERA).

[3]  I. Colak,et al.  Electrification of a load by a hybrid photovoltaic-wind system with battery storage , 2022, 2022 11th International Conference on Renewable Energy Research and Application (ICRERA).

[4]  R. Inzunza,et al.  Evaluation of Interoperability Functions via Modbus-TCP for Photovoltaic Inverters , 2021, 2021 10th International Conference on Renewable Energy Research and Application (ICRERA).

[5]  Honglu Zhu,et al.  The Output Power Smoothing Method and Its Performance Analysis of Hybrid Energy Storage System for Photovoltaic Power Plant , 2021, 2021 10th International Conference on Renewable Energy Research and Application (ICRERA).

[6]  A. AlKassem,et al.  Modeling and Simulation Analysis of a Hybrid PV-Wind Renewable Energy Sources for a Micro-Grid Application , 2021, 2021 9th International Conference on Smart Grid (icSmartGrid).

[7]  I. Davidson,et al.  Decentralized Fast Delayed Signal Cancelation Secondary Control for Low Voltage Ride-Through Application in Grid Supporting Grid Feeding Microgrid , 2021, Frontiers in Energy Research.

[8]  Innocent E. Davidson,et al.  Overview of Fault Ride-Through Requirements for Photovoltaic Grid Integration, Design and Grid Code Compliance , 2020, 2020 9th International Conference on Renewable Energy Research and Application (ICRERA).

[9]  Fernando Martinez-Rodrigo,et al.  Fault Ride-Through Enhancement of Grid Supporting Inverter-Based Microgrid Using Delayed Signal Cancellation Algorithm Secondary Control , 2019, Energies.

[10]  Siva Ramakrishna Madeti,et al.  Modeling of PV system based on experimental data for fault detection using kNN method , 2018, Solar Energy.

[11]  Ganesh K. Venayagamoorthy,et al.  Computational approach to enhance performance of photovoltaic system inverters interfaced to utility grids , 2018 .

[12]  Frede Blaabjerg,et al.  Distributed Power-Generation Systems and Protection , 2017, Proceedings of the IEEE.

[13]  Dionisio Ramirez,et al.  Assessment of a non linear current control technique applied to MMC-HVDC during grid disturbances , 2017 .

[14]  Alon Kuperman,et al.  Comments on ``An Efficient Partial Power Processing DC/DC Converter for Distributed PV Architectures'' , 2015 .

[15]  Vassilios G. Agelidis,et al.  Performance of Medium-Voltage DC-Bus PV System Architecture Utilizing High-Gain DC–DC Converter , 2015, IEEE Transactions on Sustainable Energy.

[16]  P. S. Manoharan,et al.  Modeling and simulation of three phase multilevel inverter for grid connected photovoltaic systems , 2011 .

[17]  Syafaruddin,et al.  Modeling and simulation of photovoltaic (PV) system during partial shading based on a two-diode model , 2011, Simul. Model. Pract. Theory.

[18]  Mehmet Uzunoglu,et al.  Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications , 2009 .

[19]  Switched Quasi Impedance-Source DC-DC Network for Photovoltaic Systems , 2023, International Journal of Renewable Energy Research.

[20]  L. E. Amraoui,et al.  Combination of artificial neural network-based approaches to control a grid-connected photovoltaic source under partial shading condition , 2023, International Journal of Renewable Energy Research.

[21]  Heat Transfer Performance of a Novel Circular Flow Jet Impingement Bifacial Photovoltaic Thermal PVT Solar Collector , 2023, International Journal of Renewable Energy Research.

[22]  I. Davidson,et al.  Fault Ride-Through Analysis of Current- and Voltage-Source Models of Grid Supporting Inverter-Based Microgrid , 2021, IEEE Canadian Journal of Electrical and Computer Engineering.

[23]  Yongheng Yang,et al.  PV system modeling, monitoring, and diagnosis , 2019, Advances in Grid-Connected Photovoltaic Power Conversion Systems.

[24]  M. Z. Sujod,et al.  Low voltage ride-through capability control for single-stage inverter-based grid-connected photovoltaic power plant , 2018 .