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Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network

Author

Listed:
  • Md Ismail Hossain

    (Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Md Shafiullah

    (Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Fahad A. Al-Sulaiman

    (Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
    Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

  • Mohammad A. Abido

    (Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia
    Electrical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia
    K.A. CARE Energy Research and Innovation Center, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia)

Abstract

Renewable energy will play a vital role in greenhouse gas emissions reduction. However, renewable energy is located far away from the load center. Modular multilevel converter-(MMC) based VSC-HVDC systems became competitive for remotely located renewable energy grid integration. Unlike the average model for MMC and renewable energy side converter, this paper presents a detailed model-based control and analysis of the MMC-HVDC system for solar and wind energy integration. Furthermore, it optimally tracks PV energy employing the modified incremental conductance method and wind energy using field-oriented control. Instead of decoupled control, a feedforward controller is utilized to establish a standalone AC voltage for renewable energy grid integration. This work considers a doubly fed induction generator (DFIG), permanent magnet synchronous generator (PMSG), and squirrel cage induction generator (SCIG) for wind energy integration. The results from MATLAB/SIMULINK platform agree with the controller hardware in the loop results from RTDS-dSPACE platform. The results confirmed the optimum solar and wind energy tracking during wind speed, irradiance, and temperature variations. However, it improved the fault ride-through capability during balanced and unbalanced low voltage disturbances at the point of common coupling (PCC) of AC grid.

Suggested Citation

  • Md Ismail Hossain & Md Shafiullah & Fahad A. Al-Sulaiman & Mohammad A. Abido, 2022. "Comprehensive Analysis of PV and Wind Energy Integration into MMC-HVDC Transmission Network," Sustainability, MDPI, vol. 15(1), pages 1-36, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:253-:d:1013295
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    References listed on IDEAS

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    1. Ishaque, Kashif & Salam, Zainal & Lauss, George, 2014. "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, Elsevier, vol. 119(C), pages 228-236.
    2. Fernando Martinez-Rodrigo & Dionisio Ramirez & Alexis B. Rey-Boue & Santiago De Pablo & Luis Carlos Herrero-de Lucas, 2017. "Modular Multilevel Converters: Control and Applications," Energies, MDPI, vol. 10(11), pages 1-26, October.
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    1. Md Ismail Hossain & Md Shafiullah & Mohammad A. Abido, 2023. "Battery Power Control Strategy for Intermittent Renewable Energy Integrated Modular Multilevel Converter-Based High-Voltage Direct Current Network," Sustainability, MDPI, vol. 15(3), pages 1-31, February.

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