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Optimal adaptive decentralized under-frequency load shedding for islanded smart distribution network considering wind power uncertainty

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  • Luo, Zhiqiang
  • Liu, Hui
  • Wang, Ni
  • Zhao, Teyang
  • Tian, Jiarui

Abstract

The increasing share of renewable distributed generations has raised a challenge about the frequency stability. Under-frequency load shedding (UFLS) can deal with this challenge, but it usually considers a prorated load-shedding strategy and neglects the impact of uncertainty from renewable generation. This may result in unnecessary additional economic losses from the system blackout. In this paper, a risk-decision-based optimal adaptive decentralized UFLS method is proposed to coordinate the distribution of shedding load in the smart distribution network to avoid unnecessary additional economic losses, while considering the wind power uncertainty. Firstly, the uncertainty from wind power generation is modeled by confidence intervals and evaluated by the calculation of the conditional value at risk (CVaR). Then, to economically distribute the power deficit among load agents, a decentralized consensus on the incremental cost among decentralized agents is reached, where the interruption cost of the local agent varies with its load as a nonlinear relationship. Finally, a two-layer adaptive risk-decision decentralized UFLS control framework is proposed to enable the frequency stability and economic operation of the smart distribution network. With the proposed strategy, local information sharing and important global information discovery are achieved in a distributed way. Simulations on an improved IEEE 33-bus system show that the proposed strategy can effectively avoid rigid shedding and implement the optimal allocation of the system power deficit.

Suggested Citation

  • Luo, Zhiqiang & Liu, Hui & Wang, Ni & Zhao, Teyang & Tian, Jiarui, 2024. "Optimal adaptive decentralized under-frequency load shedding for islanded smart distribution network considering wind power uncertainty," Applied Energy, Elsevier, vol. 365(C).
    • Handle: RePEc:eee:appene:v:365:y:2024:i:c:s0306261924005452
    DOI: 10.1016/j.apenergy.2024.123162
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    References listed on IDEAS

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    1. Gupta, Preeti & Pal Verma, Yajvender, 2021. "Voltage profile improvement using demand side management in distribution networks under frequency linked pricing regime," Applied Energy, Elsevier, vol. 295(C).
    2. Zhang, Xizheng & Wang, Zeyu & Lu, Zhangyu, 2022. "Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 306(PA).
    3. Li, Jianwei & Xiong, Rui & Yang, Qingqing & Liang, Fei & Zhang, Min & Yuan, Weijia, 2017. "Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system," Applied Energy, Elsevier, vol. 201(C), pages 257-269.
    4. Sadeghi, M. & Kalantar, M., 2023. "Fully decentralized multi-agent coordination scheme in smart distribution restoration: Multilevel consensus," Applied Energy, Elsevier, vol. 350(C).
    5. Timilsina, Govinda & Steinbuks, Jevgenijs, 2021. "Economic costs of electricity load shedding in Nepal," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    6. Liu, Jizhe & Zhang, Yuchen & Meng, Ke & Dong, Zhao Yang & Xu, Yan & Han, Siming, 2022. "Real-time emergency load shedding for power system transient stability control: A risk-averse deep learning method," Applied Energy, Elsevier, vol. 307(C).
    7. Liu, Hui & Wang, Bin & Wang, Ni & Wu, Qiuwei & Yang, Yude & Wei, Hua & Li, Canbing, 2018. "Enabling strategies of electric vehicles for under frequency load shedding," Applied Energy, Elsevier, vol. 228(C), pages 843-851.
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