Three-Area LFC Model with Integral Control in Simulink.

Simulink model for Load Frequency Control of Three area power system using integral action to improve system stability & frequency response.
135 download
Aggiornato 24 apr 2025

Visualizza la licenza

Simulink model for Load Frequency Control of Three area power system using integral action to improve system stability & frequency response.
This Simulink model represents a three-area Load Frequency Control (LFC) system incorporating integral control action to regulate frequency deviations and maintain power system stability in response to load disturbances. Each control area is modeled with its own governor, turbine, and generator dynamics, interconnected via tie-lines to reflect real-world inter-area power system behavior. The model emphasizes how integral controllers minimize steady-state frequency errors and improve system robustness.
Advantages:
  • Maintains frequency within permissible limits during load changes.
  • Minimizes steady-state errors with integral action.
  • Demonstrates dynamic interaction between interconnected areas.
  • Easily modifiable for different system parameters and controller designs.
  • A valuable educational tool for understanding power system control.
Applications:
  • Power system stability and control studies.
  • Automatic Generation Control (AGC) design and testing.
  • Research on decentralized and distributed control strategies.
  • Teaching tool in electrical engineering courses.
  • Benchmark model for testing modern control algorithms (e.g., PID, Fuzzy, or AI-based controllers).

Cita come

Prem Manoj Mule (2025). Three-Area LFC Model with Integral Control in Simulink. (https://it.mathworks.com/matlabcentral/fileexchange/180870-three-area-lfc-model-with-integral-control-in-simulink), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2024b
Compatibile con R2019a e release successive
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Versione Pubblicato Note della release
1.0.0