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A Load Fluctuation Characteristic Index and Its Application to Pilot Node Selection

Author

Listed:
  • Huaichang Ge

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

  • Qinglai Guo

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

  • Hongbin Sun

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

  • Bin Wang

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

  • Boming Zhang

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

  • Wenchuan Wu

    (State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China)

Abstract

The operation of power systems has been complicated by the rapid diversification of loads. Analyzing load characteristics becomes necessary to different utilities in energy management systems to ensure the reliability of power systems. Here, we describe a method of analyzing and quantifying the load characteristics and introduce its application to pilot nodes selection for zone based voltage control. We propose a new index, the Q-fluctuation (QF), to quantify the load characteristic of reactive power based on an analysis of historical data. A second index, the V-fluctuation (VF), which is a combination of the QF and the Q–V sensitivity that reflects structural information for the grid describes the voltage deviation at each node. These indices are used to construct the voltage fluctuation space, which is then used to select the pilot node for each zone. Simulation studies using IEEE 14-bus and 118-bus systems are described, and used to demonstrate the advantages of the proposed method. The method was able to improve the secondary voltage control and enhance the grid reliability in response to structural changes.

Suggested Citation

  • Huaichang Ge & Qinglai Guo & Hongbin Sun & Bin Wang & Boming Zhang & Wenchuan Wu, 2014. "A Load Fluctuation Characteristic Index and Its Application to Pilot Node Selection," Energies, MDPI, vol. 7(1), pages 1-15, January.
  • Handle: RePEc:gam:jeners:v:7:y:2014:i:1:p:115-129:d:31871
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    Citations

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    Cited by:

    1. Xianxun Wang & Yadong Mei & Hao Cai & Xiangyu Cong, 2016. "A New Fluctuation Index: Characteristics and Application to Hydro-Wind Systems," Energies, MDPI, vol. 9(2), pages 1-17, February.
    2. Xiaoming Mao & Junxian Chen, 2019. "A Fast Method to Compute the Dynamic Response of Induction Motor Loads Considering the Negative-Sequence Components in Stability Studies," Energies, MDPI, vol. 12(9), pages 1-19, May.
    3. Han, Seungyun & Kobla Tagayi, Roland & Kim, Jaewon & Kim, Jonghoon, 2022. "Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application," Applied Energy, Elsevier, vol. 309(C).

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