In this paper, Solar Photovoltaic (PV) based Renewable Energy (RE) source is integrated with Superconducting Inductor (SI) for power and voltage smoothing under different scenarios. A Superconducting Inductor (SI) is a magnetic energy storage device that is gaining recognition in the RE sector due to its superior characteristics. This SI can exchange real and reactive power with the grid system, and its charging/discharging energy can be controlled through its chopper control circuit. Here, Proportional Integral (PI) controlled and Fuzzy-controlled chopper circuit for two different cases have been compared. The proposed control scheme utilizes only one inverter system for both SI and PV system, making it simple in control and appearance. In the first case, the connected load is varied, and in the second case, the output of the solar generator is reduced. The analysis of results is based on the real and reactive power requirement, the system’s voltage variation, and SI’s energy storage capability. To evaluate the functioning of the integrated system and suggested control techniques, the system has been analyzed using the MATLAB simulation tool. The comparative results demonstrate the capability of the employed control method in enhancing the system’s overall performance, and also indicate that the Fuzzy controller is better than PI controller.

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Analyzing Coupled Superconducting Inductor-PV System for Load Levelling and Compensation of PV Output Variation

  • Anil Kumar Dahiya,
  • Sonia

摘要

In this paper, Solar Photovoltaic (PV) based Renewable Energy (RE) source is integrated with Superconducting Inductor (SI) for power and voltage smoothing under different scenarios. A Superconducting Inductor (SI) is a magnetic energy storage device that is gaining recognition in the RE sector due to its superior characteristics. This SI can exchange real and reactive power with the grid system, and its charging/discharging energy can be controlled through its chopper control circuit. Here, Proportional Integral (PI) controlled and Fuzzy-controlled chopper circuit for two different cases have been compared. The proposed control scheme utilizes only one inverter system for both SI and PV system, making it simple in control and appearance. In the first case, the connected load is varied, and in the second case, the output of the solar generator is reduced. The analysis of results is based on the real and reactive power requirement, the system’s voltage variation, and SI’s energy storage capability. To evaluate the functioning of the integrated system and suggested control techniques, the system has been analyzed using the MATLAB simulation tool. The comparative results demonstrate the capability of the employed control method in enhancing the system’s overall performance, and also indicate that the Fuzzy controller is better than PI controller.