Linear Kalman Filter Algorithm with Clarke Transformation for Power System Frequency Estimation.

§ Misr University for Science and Technology

Send Message

To: Author

Linear Kalman Filter Algorithm with Clarke Transformation for Power System Frequency Estimation.

Article Fingerprint

ReserarchID

RE44T6P

Linear Kalman Filter Algorithm with Clarke Transformation for Power System Frequency Estimation. Banner

AI TAKEAWAY

Connecting with the Eternal Ground
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu
Font Type
Font Size
Font Size
Bedground

References

23 Cites in Article
  1. P Dash,A Pradhan,G Panda (1999). Frequency estimation of distorted power system signals using extended complex Kalman filter.
  2. T Sidhu (1999). accurate Measurement of Power System Frequency Using a Digital Signal Processing.
  3. T Sidhu,M Sachdev (1998). An Accurate Technique for Fast and Accurate Measurement of Power System Frequency.
  4. Jose,H Altave,I Diaz (1998). A New Digital Filter for Phasor Computation, Part I: Theory.
  5. Jose,H Altave,I Diaze (1998). A New Digital Filter for Phasor Computation, Part II: Evaluation.
  6. J Szafran,W Rebizant (1998). Power system frequency estimation.
  7. T Lobos,J Rezmer (1997). Real-time Determination of Power System Frequency.
  8. P Moore,R Carranza,A Johns (1996). Model System Test on a New Numeric Method of Power System Frequency Measurement.
  9. P Moore,J Allmeling,A Johns (1996). Frequency Relaying Based on Instantaneous Frequency Measurement.
  10. V Terzija,M Djuric,B Kovacevic (1995). A new self-tuning algorithm for the frequency estimation of distorted signals.
  11. V Terzija,M Djuric,B Kovacevic (1994). Voltage phasor and local system frequency estimation using Newton type algorithm.
  12. M Begovic,P Djuric,S Dunlap,A Phadke (1992). Frequency tracking in power networks in the presence of harmonics.
  13. S Soliman,Soliman (1991). Dynamic Tracking of the Steady State Power System Voltage Magnitude and Frequency Using Linear Kalman Filter: A Variable Frequency Model.
  14. P Dash,R Jena,G Panda,A Routray (1996). An extended complex Kalman filter for frequency measurement of distorted signals.
  15. Jun-Zhe Yang,Chih-Wen Liu (2001). A Precise Calculation of Power System Frequency.
  16. D Thomas,M Woolfson (2001). Evaluation of frequency tracking methods.
  17. A Routray,A Pradhan,K Rao (2002). A novel Kalman filter for frequency estimation of distorted signals in power systems.
  18. M Karimi-Ghartemani,M Iravani (2003). A Signal Processing Module for Power System Applications.
  19. V Vladimir,Terzija (2003). Improved Recursive Newton-Type Algorithm for Frequency and Spectra Estimation in Power Systems.
  20. H Karimi,M Karimi-Ghartemani,M Iravani (2004). Estimation of Frequency and its Rate of Change for Applications in Power Systems.
  21. H Karimi,M Karimi-Ghartemani,M Iravani (2004). Magnitude/Phase-Locked Loop System Based on Estimation of Frequency and In-Phase/Quadrature-Phase Amplitudes.
  22. M Kuˇsljevic (2004). A Simple Recursive Algorithm for Frequency Estimation.
  23. Wu Jiekang,Long Jun,Wang Jixiang (2005). High-Accuracy, Wide-Range Frequency Estimation Methods for Power System Signals under Nonsinusoidal Conditions.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Prof. Soliman A. Soliman, Al-Kandari R.A.Alammari. 1970. "Linear Kalman Filter Algorithm with Clarke Transformation for Power System Frequency Estimation.". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 12 (GJRE Volume 12 Issue F1).

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords
Classification
GJRE-F Classification FOR Code: 090601
Version of record

v1.2

Language
English
Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

Article Matrices
Total Views: 7.1K
Total Downloads: 334
All Trends

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Linear Kalman Filter Algorithm with Clarke Transformation for Power System Frequency Estimation.

Prof. Soliman
Prof. Soliman Misr University for Science and Technology
Al-Kandari R.A.Alammari
Al-Kandari R.A.Alammari