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PV inverter with decoupled active and reactive power control to mitigate grid faults

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  • Talha, Muhammad
  • Raihan, S.R.S.
  • Rahim, N Abd

Abstract

This paper proposes a grid-tied PV inverter installed at the low voltage side of a distribution grid. The architecture considers the operation of a grid-tied inverter and its robustness against the grid faults. Unlike previously proposed low-voltage-ride-through (LVRT) operation, the proposed control provides maximum-power-point-tracking (MPPT) in both normal and low-voltage fault conditions. The control strategy prevents the inverter shut-down by maintaining the DC-link. The inverter also supports the grid by reactive power injection during the voltage sags. The paper presents a prediction model of a two-stage voltage-source-inverter. The proposed predictive control can generate the appropriate references for both regular and LVRT modes based on the inverter’s specification and the regulatory grid codes. The salient features of the proposed controller are: (1) decoupled power control in regular operation, (2) low-voltage-ride-through operation with reactive power support, (3) No DC-link fluctuation, and (4) MPPT in every mode. The inverter control is developed by formulating a cost function based on the prediction model of the inverter. A cost function minimization-based control eliminates the conventional cascaded-loop control, thus simplifying the controller implementation. The proposed model-predictive-control (MPC) algorithm is validated with mathematical analysis and simulations of the PV inverter in both standard and faulty grid conditions.

Suggested Citation

  • Talha, Muhammad & Raihan, S.R.S. & Rahim, N Abd, 2020. "PV inverter with decoupled active and reactive power control to mitigate grid faults," Renewable Energy, Elsevier, vol. 162(C), pages 877-892.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:877-892
    DOI: 10.1016/j.renene.2020.08.067
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    References listed on IDEAS

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    1. Rullo, P. & Braccia, L. & Luppi, P. & Zumoffen, D. & Feroldi, D., 2019. "Integration of sizing and energy management based on economic predictive control for standalone hybrid renewable energy systems," Renewable Energy, Elsevier, vol. 140(C), pages 436-451.
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    5. Federica Cucchiella & Idiano D’Adamo & Massimo Gastaldi & Vincenzo Stornelli, 2018. "Solar Photovoltaic Panels Combined with Energy Storage in a Residential Building: An Economic Analysis," Sustainability, MDPI, vol. 10(9), pages 1-29, August.
    6. Jafari, Mohammad & Malekjamshidi, Zahra, 2020. "Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method," Renewable Energy, Elsevier, vol. 146(C), pages 254-266.
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    1. Bashar Aldbaiat & Mutasim Nour & Eyad Radwan & Emad Awada, 2022. "Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm," Energies, MDPI, vol. 15(6), pages 1-21, March.
    2. Syed Wajahat Ali & Anant Kumar Verma & Yacine Terriche & Muhammad Sadiq & Chun-Lien Su & Chung-Hong Lee & Mahmoud Elsisi, 2022. "Finite-Control-Set Model Predictive Control for Low-Voltage-Ride-Through Enhancement of PMSG Based Wind Energy Grid Connection Systems," Mathematics, MDPI, vol. 10(22), pages 1-22, November.
    3. Jack Flicker & Jay Johnson & Peter Hacke & Ramanathan Thiagarajan, 2022. "Automating Component-Level Stress Measurements for Inverter Reliability Estimation," Energies, MDPI, vol. 15(13), pages 1-15, July.
    4. Chuanyu Zhang & Chuanxu Cao & Ruiqi Chen & Jiahui Jiang, 2023. "Three-Leg Quasi-Z-Source Inverter with Input Ripple Suppression for Renewable Energy Application," Energies, MDPI, vol. 16(11), pages 1-28, May.
    5. David J. Rincon & Maria A. Mantilla & Juan M. Rey & Miguel Garnica & Damien Guilbert, 2023. "An Overview of Flexible Current Control Strategies Applied to LVRT Capability for Grid-Connected Inverters," Energies, MDPI, vol. 16(3), pages 1-20, January.

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