Sustainable Energy and Artificial Intelligence

Design of an Improved Adaptive Fuzzy-FOPID Controller to Enhance Frequency Stability in the TAPS

Articles in Press

Document Type : Original Article

Authors

Farhad Amiri 1
Mohammad H. Moradi 2
Arefe Shalbafian 3

1 Department of Electrical Engineering, Tafresh University, Tafresh, 39518-79611, Iran.

2 Electrical Engineering Department, Faculty of Engineering, Bu-Ali Sina University, Hamedan

3 Department of Electrical Engineering, Hamedan University of Technology, Hamedan, Iran

Abstract
Frequency stability is the fundamental problem of keeping the PS's frequency within a reasonable range. The PS's stability would be threatened by frequency variation brought on by load disruptions and uncertainty pertaining to PS characteristics. The PS's LFC system is crucial for controlling and maintaining frequency stability. This work uses the adaptive Fuzzy-FOPID (FFOPID) controller in the LFC structure to address uncertainties and disturbances while improving frequency stability in a two-area PS (TAPS). Additionally, RL has been used to enhance the adaptive FFOPID controller's performance. The adaptive FFOPID controller's performance against the uncertainties and disruptions of the TAPS has been enhanced by RL, which has also increased the control system's environmental adaptability. In a number of scenarios, the suggested control (FFOPID-RL) method has been compared to FFOPID, PDSMC, and SMC control methods. The findings indicate that the control method is better at lowering frequency deviations, settling times, and damping frequency oscillations associated with the TAPS

Keywords

Fuzzy-FOPID
controller
Adaptive
Frequency deviation
Power system
Subjects
Sustainable Energy and Artificial Intelligence

Articles in Press, Corrected Proof
Available Online from 18 June 2026

  • Receive Date 01 May 2026
  • Revise Date 19 May 2026
  • Accept Date 02 June 2026
  • First Publish Date 18 June 2026

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