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Novel Segmentation Technique for Measured Three-Phase Voltage Dips

Author

Listed:
  • Isabel M. Moreno-Garcia

    (Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain)

  • Antonio Moreno-Munoz

    (Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain)

  • Aurora Gil-de-Castro

    (Electronic Technology Area, University of Cordoba, Cordoba 14002, Spain)

  • Math Bollen

    (Electric Power Engineering, Department of Engineering Sciences and Mathematics, Luleå University of Technology, Skellefteå 931 87, Sweden)

  • Irene Y. H. Gu

    (Department of Signals and Systems, Chalmers University of Technology, Göteborg 412 58, Sweden)

Abstract

This paper focuses on issues arising from the need to automatically analyze disturbances in the future (smart) grid. Accurate time allocation of events and the sequences of events is an important part of such an analysis. The performance of a joint causal and anti-causal (CaC) segmentation method has been analyzed with a set of real measurement signals, using an alternative detection technique based on a cumulative sum (CUSUM) algorithm. The results show that the location in time of underlying transitions in the power system can be more accurately estimated by combining CaC segmentation methods.

Suggested Citation

  • Isabel M. Moreno-Garcia & Antonio Moreno-Munoz & Aurora Gil-de-Castro & Math Bollen & Irene Y. H. Gu, 2015. "Novel Segmentation Technique for Measured Three-Phase Voltage Dips," Energies, MDPI, vol. 8(8), pages 1-20, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:8:p:8319-8338:d:53784
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    References listed on IDEAS

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    1. Nantian Huang & Shuxin Zhang & Guowei Cai & Dianguo Xu, 2015. "Power Quality Disturbances Recognition Based on a Multiresolution Generalized S-Transform and a PSO-Improved Decision Tree," Energies, MDPI, vol. 8(1), pages 1-24, January.
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    Cited by:

    1. Horia Gheorghe Beleiu & Ioana Natalia Beleiu & Sorin Gheorghe Pavel & Cosmin Pompei Darab, 2018. "Management of Power Quality Issues from an Economic Point of View," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    2. Xianyong Xiao & Wenxi Hu & Huaying Zhang & Jingwen Ai & Zixuan Zheng, 2018. "An Adaptive Approach for Voltage Sag Automatic Segmentation," Energies, MDPI, vol. 11(12), pages 1-17, December.
    3. Alena Otcenasova & Roman Bodnar & Michal Regula & Marek Hoger & Michal Repak, 2017. "Methodology for Determination of the Number of Equipment Malfunctions Due to Voltage Sags," Energies, MDPI, vol. 10(3), pages 1-26, March.

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