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Combined decentralized and local voltage control strategy of soft open points in active distribution networks

Author

Listed:
  • Li, Peng
  • Ji, Haoran
  • Yu, Hao
  • Zhao, Jinli
  • Wang, Chengshan
  • Song, Guanyu
  • Wu, Jianzhong

Abstract

With the integration of high shares of distributed generators (DGs), it is increasingly difficult to cope with the voltage violations and puts forward a higher requirement for the operational flexibility in active distribution networks (ADNs). Soft open point (SOP) can realize accurate power flow control and continuous voltage regulation, which is usually operated by the centralized control strategy. However, the heavy burden of communication and complex global optimization process hinder its application on fast voltage control. This paper proposes a combined decentralized and local voltage control strategy of SOPs to rapidly cope with the frequent voltage fluctuations. Based on the dynamic network partition results, the decentralized optimization is applied to regulate active power transmission of SOPs among the connected areas. The Q-V control curve is optimally tuned to locally regulate the reactive power outputs of SOPs by using the intra-area information. Compared to the widely-used centralized strategy, the proposed combined control strategy of SOPs can effectively reduce the communication and computational burden with acceptable voltage control performance. Finally, the effectiveness of the proposed control strategy of SOPs is validated on the modified PG&E 69-node distribution system and modified IEEE 123-node distribution system.

Suggested Citation

  • Li, Peng & Ji, Haoran & Yu, Hao & Zhao, Jinli & Wang, Chengshan & Song, Guanyu & Wu, Jianzhong, 2019. "Combined decentralized and local voltage control strategy of soft open points in active distribution networks," Applied Energy, Elsevier, vol. 241(C), pages 613-624.
    • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:613-624
    DOI: 10.1016/j.apenergy.2019.03.031
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    Cited by:

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    6. Bastami, Houman & Shakarami, Mahmoud Reza & Doostizadeh, Meysam, 2021. "A decentralized cooperative framework for multi-area active distribution network in presence of inter-area soft open points," Applied Energy, Elsevier, vol. 300(C).
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    12. Ibrahim Diaaeldin & Shady Abdel Aleem & Ahmed El-Rafei & Almoataz Abdelaziz & Ahmed F. Zobaa, 2019. "Optimal Network Reconfiguration in Active Distribution Networks with Soft Open Points and Distributed Generation," Energies, MDPI, vol. 12(21), pages 1-31, November.
    13. Deakin, Matthew & Sarantakos, Ilias & Greenwood, David & Bialek, Janusz & Taylor, Phil C. & Walker, Sara, 2023. "Comparative analysis of services from soft open points using cost–benefit analysis," Applied Energy, Elsevier, vol. 333(C).
    14. Zhang, Bin & Hu, Weihao & Ghias, Amer M.Y.M. & Xu, Xiao & Chen, Zhe, 2022. "Multi-agent deep reinforcement learning-based coordination control for grid-aware multi-buildings," Applied Energy, Elsevier, vol. 328(C).
    15. Zhichun Yang & Fan Yang & Huaidong Min & Yu Shen & Xu Tang & Yun Hong & Liang Qin, 2023. "A Local Control Strategy for Voltage Fluctuation Suppression in a Flexible Interconnected Distribution Station Area Based on Soft Open Point," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    16. Qiu, Rui & Liao, Qi & Yan, Jie & Yan, Yamin & Guo, Zhichao & Liang, Yongtu & Zhang, Haoran, 2021. "The coupling impact of subsystem interconnection and demand response on the distributed energy systems: A case study of the composite community in China," Energy, Elsevier, vol. 228(C).
    17. Jude Suchithra & Duane Robinson & Amin Rajabi, 2023. "Hosting Capacity Assessment Strategies and Reinforcement Learning Methods for Coordinated Voltage Control in Electricity Distribution Networks: A Review," Energies, MDPI, vol. 16(5), pages 1-28, March.
    18. Ruonan Hu & Wei Wang & Zhe Chen & Xuezhi Wu & Long Jing & Wei Ma & Guohong Zeng, 2020. "Coordinated Voltage Regulation Methods in Active Distribution Networks with Soft Open Points," Sustainability, MDPI, vol. 12(22), pages 1-18, November.

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