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A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data

Author

Listed:
  • Dan Liu

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Yiqun Kang

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Heng Luo

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Xiaotong Ji

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Kan Cao

    (State Grid Hubei Electric Power Research Institute, Wuhan 430077, China)

  • Hengrui Ma

    (School of Electrical and Automation, Wuhan University, Wuhan 430077, China)

Abstract

Targeting the problem of the power grid facing greater risks with the connection of large-scale wind power, a method for power grid state analysis using big data is proposed. First, based on the big data, the wind power matrix and the branch power matrix are each constructed. Second, for the wind energy matrix, the eigenvalue index in the complex domain and the spectral density index in the real domain are constructed based on the circular law and the M-P law, respectively, to describe the variation of wind energy. Then, based on the concept of entropy and the M-P law, the index for describing the variation of the branch power is constructed. Finally, in order to analyze the real-time status of the grid connected to large-scale wind power, the proposed index is combined with the sliding time window. The simulation results based on the enhanced IEEE-33 bus system show that the proposed method can perform real-time analysis on the grid state of large-scale wind power connection from different perspectives, and its sensitivity is good.

Suggested Citation

  • Dan Liu & Yiqun Kang & Heng Luo & Xiaotong Ji & Kan Cao & Hengrui Ma, 2023. "A Grid Status Analysis Method with Large-Scale Wind Power Access Using Big Data," Energies, MDPI, vol. 16(12), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4802-:d:1174489
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    References listed on IDEAS

    as
    1. Ning Wang & Fei Zhao, 2020. "An Assessment of the Condition of Distribution Network Equipment Based on Large Data Fuzzy Decision-Making," Energies, MDPI, vol. 13(1), pages 1-13, January.
    2. Yuyang Gao & Chao Qu & Kequan Zhang, 2016. "A Hybrid Method Based on Singular Spectrum Analysis, Firefly Algorithm, and BP Neural Network for Short-Term Wind Speed Forecasting," Energies, MDPI, vol. 9(10), pages 1-28, September.
    3. Thapat Silalertruksa & Chanipa Wirodcharuskul & Shabbir H. Gheewala, 2022. "Environmental Sustainability of Waste Circulation Models for Sugarcane Biorefinery System in Thailand," Energies, MDPI, vol. 15(24), pages 1-21, December.
    4. Piotr Łukaszewski & Łukasz Nogal & Artur Łukaszewski, 2022. "The Identification of Travelling Waves in a Voltage Sensor Signal in a Medium Voltage Grid Using the Short-Time Matrix Pencil Method," Energies, MDPI, vol. 15(12), pages 1-16, June.
    5. Antonio E. Saldaña-González & Andreas Sumper & Mònica Aragüés-Peñalba & Miha Smolnikar, 2020. "Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review," Energies, MDPI, vol. 13(14), pages 1-34, July.
    6. Hengrui Ma & Bo Wang & Wenzhong Gao & Dichen Liu & Yong Sun & Zhijun Liu, 2018. "Optimal Scheduling of an Regional Integrated Energy System with Energy Storage Systems for Service Regulation," Energies, MDPI, vol. 11(1), pages 1-19, January.
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