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Voltage sag state estimation in power systems by applying genetic algorithms

  • Published:2011 Issue:2 Volume:5 Page:223
  • ISSN:1751-8687
  • Container-title:IET Generation, Transmission & Distribution
  • language:en
  • Short-container-title:IET Gener. Transm. Distrib.

Author:

Lucio J.,Espinosa-Juárez E.,Hernández A.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference26 articles.

1. Bollen, M.H.J.: ‘Understanding power quality problems: voltage sags and interruptions’, (IEEE Press Series on Power Engineering 2000)

2. IEEE Standard 1195-1995: ‘IEEE recommended practice for monitoring electric power quality’, 1995

3. IEEE Standard 493-2007: ‘Gold Book, IEEE recommended practice for the design of reliable industrial and commercial power systems’, 2007

4. Draft 4, for IEEE Standard 1564, 2003: ‘The IEEE voltage sags indices’. Working document, 2003

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1. A Method for Voltage Sag Source Location Based on Vague-Value Similarity;2023 3rd Power System and Green Energy Conference (PSGEC);2023-08

2. Sensitivity of Voltage Sags Estimation to Uncertainties;IEEE Access;2023

3. A novel voltage sag state estimation method based on complex network analysis;International Journal of Electrical Power & Energy Systems;2022-09

4. Research on Voltage Sag Amplitude Propagation Model and Lateral Propagation Characteristics;2022 IEEE 5th International Electrical and Energy Conference (CIEEC);2022-05-27

5. An optimal configuration method of voltage sag monitoring points considering monitoring redundancy;2022 IEEE 5th International Electrical and Energy Conference (CIEEC);2022-05-27
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