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This paper presents an MPC based control for a DC microgrid consisting of PV and battery bank connected to the main grid under practical ambient conditions with varying irradiance and varying ambient temperature. Fluctuating output from renewable energy is considered, and the battery is connected through a bidirectional converter for which predictive control is developed considering SOC, maximum and minimum current capability, and bus voltage. The objective is to maintain DC bus voltage precisely under varying load conditions. The performance of the MPC based control is also investigated for the system working under both, grid-tied and islanded modes. The performance of the proposed MPC based control is also compared with the traditional PI control and found superior under different conditions.

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Model Predictive Control of Bidirectional Converter in a PV-Battery System Under Practical Conditions

  • 会议论文

  • 发表日期：

    2025年

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  • Gurparas Singh,
  • Sheela Tiwari,
  • A. K. Jain

摘要

This paper presents an MPC based control for a DC microgrid consisting of PV and battery bank connected to the main grid under practical ambient conditions with varying irradiance and varying ambient temperature. Fluctuating output from renewable energy is considered, and the battery is connected through a bidirectional converter for which predictive control is developed considering SOC, maximum and minimum current capability, and bus voltage. The objective is to maintain DC bus voltage precisely under varying load conditions. The performance of the MPC based control is also investigated for the system working under both, grid-tied and islanded modes. The performance of the proposed MPC based control is also compared with the traditional PI control and found superior under different conditions.