Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "BOUDJERADA Ahmed Abderrahmane"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    Power Forecasting to Enable Peak Shaving in a Gas Turbine–Based Standalone Microgrid with PV Integration
    (university of ghardaia, 2026) BOUDJERADA Ahmed Abderrahmane; MOULAY OMAR Abdelouahab
    Standalone microgrids in isolated areas often use gas turbines to provide reliable electricity. However, when the power demand becomes very high, the gas turbine must work under heavy load conditions. This can increase fuel consumption, speed up equipment aging, and raise maintenance costs. This project proposes a method based on power forecasting to reduce peak loads in a standalone microgrid that uses a gas turbine and photovoltaic (PV) energy. The method uses historical operating data to predict the total power output of the microgrid and identify the periods when peak demand may occur. After detecting these expected peak periods, the suitable size of the PV plant can be selected so that solar energy can help supply the load during critical times. In this way, the PV system contributes to peak shaving and reduces the power stress on the gas turbine. By limiting the operation of the gas turbine under extreme load conditions, this approach can help extend its lifetime, reduce maintenance costs, and keep the electricity supply reliable. Therefore, combining power forecasting with proper PV sizing can improve both the technical and economic performance of standalone microgrids.

DSpace software copyright © 2002-2026 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify