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Novel Strategy for Accurate Locating of Voltage Sag Sources in Smart Distribution Networks with Inverter-Interfaced Distributed Generators

Author

Listed:
  • Rusi Chen

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China
    Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Wuhan 430068, China)

  • Tao Lin

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China
    Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Wuhan 430068, China)

  • Ruyu Bi

    (School of Electrical Engineering, Wuhan University, Wuhan 430072, China
    Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Wuhan 430068, China)

  • Xialing Xu

    (Central China Branch of State Grid Corporation of China, Wuhan 430063, China)

Abstract

With the aid of power quality monitoring systems (PQMSs), accurate locating of voltage sag sources, which has important significance for guiding maintenance personnel in finding and repairing faults as well as improving power supply reliability, has been becoming a new research hotspot. However, existing methods have unsatisfactory locating accuracy due to the integration of distributed generators (DGs) and fault resistance. In this paper, a novel strategy for accurately locating voltage sag sources in smart distribution networks is proposed. Based on inverse theory, which is well applied in geophysics, the accurate location issue is treated as a two-step optimization model. It aims at making the distribution of voltage phasors and current phasors obtained by theoretical short-circuit calculation match those actually observed as closely as possible. To guarantee the feasibility of the strategy, the effect of inverter-interfaced DGs (IIDGs) which are the main form of DG is considered in the short-circuit calculations. To guarantee the location accuracy of the strategy, fault resistance is treated as an optimization variable in the two-step optimization model to eliminate estimation error of fault resistance. Via two modified IEEE benchmarks with different scales, the validity and the superiorities in applicability and accuracy of the proposed strategy are verified.

Suggested Citation

  • Rusi Chen & Tao Lin & Ruyu Bi & Xialing Xu, 2017. "Novel Strategy for Accurate Locating of Voltage Sag Sources in Smart Distribution Networks with Inverter-Interfaced Distributed Generators," Energies, MDPI, vol. 10(11), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1885-:d:119160
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    Citations

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    Cited by:

    1. Dashti, Rahman & Ghasemi, Mohsen & Daisy, Mohammad, 2018. "Fault location in power distribution network with presence of distributed generation resources using impedance based method and applying π line model," Energy, Elsevier, vol. 159(C), pages 344-360.
    2. Rafael Cisneros-Magaña & Aurelio Medina & Olimpo Anaya-Lara, 2018. "Time-Domain Voltage Sag State Estimation Based on the Unscented Kalman Filter for Power Systems with Nonlinear Components," Energies, MDPI, vol. 11(6), pages 1-20, June.
    3. Bo-kyu Kwon & Soohee Han & Kwang Y. Lee, 2018. "Robust Estimation and Tracking of Power System Harmonics Using an Optimal Finite Impulse Response Filter," Energies, MDPI, vol. 11(7), pages 1-15, July.

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