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Risk Assessment Method for Integrated Transmission–Distribution System Considering the Reactive Power Regulation Capability of DGs

Author

Listed:
  • Qi Wang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Dasong Sun

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Jianxiong Hu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Yi Wu

    (State Grid Jiangsu Electric Co. Ltd., Nanjing 210000, China)

  • Ji Zhou

    (National Electric Power Dispatching and Control Center, State Grid Corporation of China, Beijing 100031, China)

  • Yi Tang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

High distributed generation (DG) penetration makes the traditional method of equalizing the distribution power system (DPS) to the PQ load bus in the risk assessment of the transmission power system (TPS) no longer applicable. This paper proposes a risk assessment method for an integrated transmission–distribution system that considers the reactive power regulation capability of the DGs. Based on the DG’s characteristics and network constraints, the regulation capacity is mapped to the boundary buses of the distribution networks. Coordinating the relationship between reactive power and active power, the utilization of the regulation capacity is maximized to reduce the load shedding in the fault analysis of the TPS. Simulation results in the integrated transmission–distribution system illustrate that the effective use of the regulation capacity of the DPS can reduce the risk of the TPS. The method can be applied to the reactive power sources planning and dispatching of power system.

Suggested Citation

  • Qi Wang & Dasong Sun & Jianxiong Hu & Yi Wu & Ji Zhou & Yi Tang, 2019. "Risk Assessment Method for Integrated Transmission–Distribution System Considering the Reactive Power Regulation Capability of DGs," Energies, MDPI, vol. 12(16), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3040-:d:255469
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    References listed on IDEAS

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    1. Arun Onlam & Daranpob Yodphet & Rongrit Chatthaworn & Chayada Surawanitkun & Apirat Siritaratiwat & Pirat Khunkitti, 2019. "Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping," Energies, MDPI, vol. 12(3), pages 1-12, February.
    2. Weisi Deng & Buhan Zhang & Hongfa Ding & Hang Li, 2017. "Risk-Based Probabilistic Voltage Stability Assessment in Uncertain Power System," Energies, MDPI, vol. 10(2), pages 1-19, February.
    3. Whei-Min Lin & Chung-Yuen Yang & Chia-Sheng Tu & Ming-Tang Tsai, 2018. "An Optimal Scheduling Dispatch of a Microgrid under Risk Assessment," Energies, MDPI, vol. 11(6), pages 1-17, June.
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    Cited by:

    1. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.

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