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Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids

Author

Listed:
  • Ziming Zhou

    (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China)

  • Zihao Wang

    (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China)

  • Yanan Zhang

    (State Grid Tianjin Power Dongli Power Supply Branch, Tianjin 300300, China)

  • Xiaoxue Wang

    (State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300401, China)

Abstract

As the penetration of distributed renewable energy continues to increase in distribution networks, the traditional scheduling model that the inertia and primary frequency support of distribution networks are completely dependent on the transmission grid will place enormous regulatory pressure on the transmission grid and hinder the active regulation capabilities of distribution networks. To address this issue, this paper proposes a coordinated optimization method for distribution networks and microgrid clusters considering frequency constraints. First, the confidence interval of disturbances was determined based on historical forecast deviation data. On this basis, a second-order cone programming model for distribution networks with embedded frequency security constraints was established. Then, microgrids performed economic dispatch considering the reserves requirement to provide inertia and primary frequency support, and a stochastic optimization model with conditional value-at-risk was built to address uncertainties. Finally, a cooperative game between the distribution network and microgrid clusters was established, determining the reserve capacity provided by each microgrid and the corresponding prices through Nash bargaining. The model was further transformed into two sub-problems, which were solved in a distributed manner using the ADMM algorithm. The effectiveness of the proposed method in enhancing the operational security and economic efficiency of the distribution networks is validated through simulation analysis.

Suggested Citation

  • Ziming Zhou & Zihao Wang & Yanan Zhang & Xiaoxue Wang, 2024. "Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids," Energies, MDPI, vol. 17(22), pages 1-27, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5661-:d:1519624
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    References listed on IDEAS

    as
    1. Yang, Yang & Peng, Jimmy Chih-Hsien & Ye, Zhi-Sheng, 2023. "Distributionally robust frequency dynamic constrained unit commitment considering uncertain demand-side resources," Applied Energy, Elsevier, vol. 331(C).
    2. Drielli Peyerl & Mariana Oliveira Barbosa & Mariana Ciotta & Maria Rogieri Pelissari & Evandro Mateus Moretto, 2022. "Linkages between the Promotion of Renewable Energy Policies and Low-Carbon Transition Trends in South America’s Electricity Sector," Energies, MDPI, vol. 15(12), pages 1-18, June.
    Full references (including those not matched with items on IDEAS)

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