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Two-Stage Grid-Connected Frequency Regulation Control Strategy Based on Photovoltaic Power Prediction

Author

Listed:
  • Shuzheng Wang

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Haiming Zhu

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Shaowen Zhang

    (School of Electrical Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

Abstract

The large number of photovoltaics connected to the distribution network via power electronic converters squeezes the functional space of traditional synchronous generators in the power system and reduces the inertia of the network itself. However, due to the random and fluctuating nature of PV power generation, different types of meteorological conditions can also affect the inertia support capability of PV output power. Therefore, this paper proposes a frequency regulation control strategy based on the dynamic characteristics of the grid-side DC capacitor. Firstly, the control strategy of the grid-side inverter is improved and the mechanism of the frequency dynamic response model under PV penetration is analysed. Secondly, data from different weather types are correlated and analysed to predict PV power, and wireless sensor technology is used to introduce the data signals into the control link. Finally, a simulation model of a two-stage PV power generation system is developed and the fast-response capability of the system under different control parameters when the load is increased or decreased is analysed. The results show that under the proposed frequency regulation strategy, the larger the regulation coefficient and virtual inertia time constant, the greater the virtual inertia provided by the PV power generation, which improves the stability of the distribution network.

Suggested Citation

  • Shuzheng Wang & Haiming Zhu & Shaowen Zhang, 2023. "Two-Stage Grid-Connected Frequency Regulation Control Strategy Based on Photovoltaic Power Prediction," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8929-:d:1161741
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    References listed on IDEAS

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    1. Job Taminiau & John Byrne & Jongkyu Kim & Min‐whi Kim & Jeongseok Seo, 2021. "Infrastructure‐scale sustainable energy planning in the cityscape: Transforming urban energy metabolism in East Asia," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 10(5), September.
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    Cited by:

    1. Mohammed Yousri Silaa & Oscar Barambones & José Antonio Cortajarena & Patxi Alkorta & Aissa Bencherif, 2023. "PEMFC Current Control Using a Novel Compound Controller Enhanced by the Black Widow Algorithm: A Comprehensive Simulation Study," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    2. Weichao He & Yuemin Zheng & Jin Tao & Yujuan Zhou & Jiayan Wen & Qinglin Sun, 2023. "A Novel Fractional-Order Active Disturbance Rejection Load Frequency Control Based on An Improved Marine Predator Algorithm," Sustainability, MDPI, vol. 15(13), pages 1-23, June.

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