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Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters

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  • Almasalma, Hamada
  • Claeys, Sander
  • Deconinck, Geert

Abstract

The increasing penetration of renewable energy sources is impacting the operation of the distribution grid. Whilst they are currently placing a burden on the distribution grid, it is generally agreed that these sources could also be used for active grid control, thereby contributing to a stable and secure grid. Smart photovoltaic inverters can contribute to active grid control, by expanding their features with added functions. In this paper, we develop a novel grid voltage support algorithm for smart photovoltaic inverters, based on distributed optimization and peer-to-peer communication. The Jacobi-Proximal Alternating Direction Method of Multipliers is applied in this paper to locally optimize reactive power compensation and active power curtailment of each inverter participating in the voltage control. We propose the use of a push-sum gossip protocol to enable peer-to-peer data interchange between inverters. We also use strategies to improve the robustness of the proposed algorithm: an acceleration strategy, a feedback strategy and an anti-windup strategy. A case study is presented, demonstrating the fast convergence of the algorithm and its ability to solve the voltage problems.

Suggested Citation

  • Almasalma, Hamada & Claeys, Sander & Deconinck, Geert, 2019. "Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters," Applied Energy, Elsevier, vol. 239(C), pages 1037-1048.
    • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:1037-1048
    DOI: 10.1016/j.apenergy.2019.01.249
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    6. Lai, Qiupin & Liu, Chengxi & Sun, Kai, 2021. "Vulnerability assessment for voltage stability based on solvability regions of decoupled power flow equations," Applied Energy, Elsevier, vol. 304(C).
    7. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2021. "Cooperative negawatt P2P energy trading for low-voltage distribution networks," Applied Energy, Elsevier, vol. 299(C).
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    9. Zhang, Xiao & Wu, Zhi & Sun, Qirun & Gu, Wei & Zheng, Shu & Zhao, Jingtao, 2024. "Application and progress of artificial intelligence technology in the field of distribution network voltage Control：A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    10. Dudjak, Viktorija & Neves, Diana & Alskaif, Tarek & Khadem, Shafi & Pena-Bello, Alejandro & Saggese, Pietro & Bowler, Benjamin & Andoni, Merlinda & Bertolini, Marina & Zhou, Yue & Lormeteau, Blanche &, 2021. "Impact of local energy markets integration in power systems layer: A comprehensive review," Applied Energy, Elsevier, vol. 301(C).
    11. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    12. Seyedhossein, Seyed Saeed & Moeini-Aghtaie, Moein, 2022. "Risk management framework of peer-to-peer electricity markets," Energy, Elsevier, vol. 261(PB).
    13. Su, Hongzhi & Wang, Chengshan & Li, Peng & Li, Peng & Liu, Zhelin & Wu, Jianzhong, 2019. "Novel voltage-to-power sensitivity estimation for phasor measurement unit-unobservable distribution networks based on network equivalent," Applied Energy, Elsevier, vol. 250(C), pages 302-312.
    14. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2020. "Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers," Applied Energy, Elsevier, vol. 263(C).

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