Adaptive Load Frequency Control in Power Systems Using Optimization Techniques

Tarek Hassan Mohamed*, Hussein Abubakr , Mahmoud M. Hussein, Gaber Shabib

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingBook chapterResearchpeer-review


At present, simple and classical tuned controllers are widely used in the power system load frequency control (LFC) application. Existing LFC system parameters are usually tuned based on experiences, classical methods, and trial and error approaches, and they are incapable of providing good dynamic performance over a wide range of operating conditions and various load scenarios. Therefore, the novel modeling and control approaches are strongly required, to obtain a new trade-off between efficiency and robustness. Thus, the proposed techniques in this chapter are referred to be an adaptive control technique based on new optimization methods such as Jaya, Practical Swarm Optimization Algorithm, etc., which are used to make an on-line tuning of the LFC parameters in order to face the previous challenges in LFC. The system under study is a small microgrid with a renewable energy source and variable demand load. Digital simulation results are discussed.
Original languageEnglish
Title of host publicationAI and Learning Systems: Industrial Applications and Future Directions
PublisherNorderstedt Books on Demand
Publication date17 Feb 2021
Publication statusPublished - 17 Feb 2021
Externally publishedYes


  • Load Frequency Control (LFC)
  • Optimization Algorithm
  • Microgrid
  • Adaptive Control
  • Power System


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