• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
JES. Journal of Engineering Sciences
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 53 (2025)
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
Issue No 6
Issue No 5
Issue No 4
Issue No 3
Issue No 2
Issue No 1
El-Sadek, M., Shabib, G., M. Soliman, W. (2006). TRANSIENT STABILITY ENHANCEMENT USING ARTIFICAL INTELLIGENCE BASED GOVERNOR CONTROLLER. JES. Journal of Engineering Sciences, 34(No 3), 923-936. doi: 10.21608/jesaun.2006.110593
M. Z. El-Sadek; Gaber Shabib; Wael M. Soliman. "TRANSIENT STABILITY ENHANCEMENT USING ARTIFICAL INTELLIGENCE BASED GOVERNOR CONTROLLER". JES. Journal of Engineering Sciences, 34, No 3, 2006, 923-936. doi: 10.21608/jesaun.2006.110593
El-Sadek, M., Shabib, G., M. Soliman, W. (2006). 'TRANSIENT STABILITY ENHANCEMENT USING ARTIFICAL INTELLIGENCE BASED GOVERNOR CONTROLLER', JES. Journal of Engineering Sciences, 34(No 3), pp. 923-936. doi: 10.21608/jesaun.2006.110593
El-Sadek, M., Shabib, G., M. Soliman, W. TRANSIENT STABILITY ENHANCEMENT USING ARTIFICAL INTELLIGENCE BASED GOVERNOR CONTROLLER. JES. Journal of Engineering Sciences, 2006; 34(No 3): 923-936. doi: 10.21608/jesaun.2006.110593

TRANSIENT STABILITY ENHANCEMENT USING ARTIFICAL INTELLIGENCE BASED GOVERNOR CONTROLLER

Article 18, Volume 34, No 3, May and June 2006, Page 923-936  XML PDF (191.45 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2006.110593
View on SCiNiTO View on SCiNiTO
Authors
M. Z. El-Sadek* 1; Gaber Shabib* 2; Wael M. Soliman* 3
1Electrical Engineering Department, Faculty of Engineering, Assiut , Egypt
2Electrical Engineering Department, High Institute of Energy, Aswan, Egypt
3High Dam Hydropower Plant, Hydro Power Generation Company, Aswan, Egypt
Abstract
The paper investigates the application of a fuzzy logic – based governor controller as a technique of artificial intelligence techniques for stability enhancement of a multimachine power system. A fuzzy controller is designed to operate in real time to improve each generating unit transients in a multimachine system through the governor loop. The fuzzy controller requires two inputs signals, speed deviation and acceleration of the machine and generates one output as a supplementary signal into the governor loop when the excitation system is fixed. The developed fuzzy controller, whose control signals are adjusted using on line measurements, offers better damping effects for generator oscillations under large disturbances compared to turbine speed governor with conventional controller. Computer simulations of a 3 unit power system show that employing this type of control is effective in reducing excessive over and under frequency deviations.
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 139
PDF Download: 357
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.