Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system
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 po...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/44144/ http://umpir.ump.edu.my/id/eprint/44144/1/Spider%20wasp%20optimizer-optimized%20cascaded%20fractional-order.pdf |
| _version_ | 1848827041934213120 |
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| author | Ekinci, Serdar Izci, Davut Turkeri, Cebrail Mohd Ashraf, Ahmad |
| author_facet | Ekinci, Serdar Izci, Davut Turkeri, Cebrail Mohd Ashraf, Ahmad |
| author_sort | Ekinci, Serdar |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:54:25Z |
| format | Article |
| id | ump-44144 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:54:25Z |
| publishDate | 2024 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-441442025-06-23T06:54:12Z http://umpir.ump.edu.my/id/eprint/44144/ Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system Ekinci, Serdar Izci, Davut Turkeri, Cebrail Mohd Ashraf, Ahmad TK Electrical engineering. Electronics Nuclear engineering 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. MDPI 2024-10 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/44144/1/Spider%20wasp%20optimizer-optimized%20cascaded%20fractional-order.pdf 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) https://doi.org/10.3390/math12193076 https://doi.org/10.3390/math12193076 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ekinci, Serdar Izci, Davut Turkeri, Cebrail Mohd Ashraf, Ahmad Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title | Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title_full | Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title_fullStr | Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title_full_unstemmed | Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title_short | Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| title_sort | spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/44144/ http://umpir.ump.edu.my/id/eprint/44144/ http://umpir.ump.edu.my/id/eprint/44144/ http://umpir.ump.edu.my/id/eprint/44144/1/Spider%20wasp%20optimizer-optimized%20cascaded%20fractional-order.pdf |