Ekinci, Serdar and Izci, Davut and Turkeri, Cebrail and Mohd Ashraf, Ahmad (2024) Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system. Mathematics, 12 (19). pp. 1-25. ISSN 2227-7390. (Published)
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Abstract
The integration of photovoltaic (PV) systems into traditional power grids introduces significant challenges in maintaining system stability, particularly in multi-area power systems. This study proposes a novel approach to load frequency control (LFC) in a two-area power system, where one area is powered by a PV grid and the other by a thermal generator. To enhance system performance, a cascaded control strategy combining a fractional-order proportional–integral (FOPI) controller and a proportional–derivative with filter (PDN) controller, FOPI(1+PDN), is introduced. The controller parameters are optimized using the spider wasp optimizer (SWO). Extensive simulations are conducted to validate the effectiveness of the SWO-tuned FOPI(1+PDN) controller. The proposed method demonstrates superior performance in reducing frequency deviations and tie-line power fluctuations under various disturbances. The results are compared against other advanced optimization algorithms, each applied to the FOPI(1+PDN) controller. Additionally, this study benchmarks the SWO-tuned controller against recently reported control strategies that were optimized using different algorithms. The SWO-tuned FOPI(1+PDN) controller demonstrates superior performance in terms of faster response, reduced overshoot and undershoot, and better error minimization.
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Cascaded fractional-order controller; Load frequency control; Renewable energy control; Spider wasp optimizer; Two-area power system |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Electrical and Electronic Engineering Technology |
Depositing User: | Mrs. Nurul Hamira Abd Razak |
Date Deposited: | 23 Jun 2025 06:54 |
Last Modified: | 23 Jun 2025 06:54 |
URI: | http://umpir.ump.edu.my/id/eprint/44144 |
Download Statistic: | View Download Statistics |
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