Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems
Economic dispatch (ED) is one of the most important problems in terms of energy planning, management, and operation in power systems. This study presents a snow ablation optimizer (SAO) algorithm developed with the fuzzy-based fitness–distance balance (FFDB) method for solving ED problems in small-,...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/12/3048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849433926204915712 |
|---|---|
| author | Muhammet Demirbas Serhat Duman Burcin Ozkaya Yunus Balci Deniz Ersoy M. Kenan Döşoğlu Ugur Guvenc Bekir Emre Altun Hasan Uzel Enes Kaymaz |
| author_facet | Muhammet Demirbas Serhat Duman Burcin Ozkaya Yunus Balci Deniz Ersoy M. Kenan Döşoğlu Ugur Guvenc Bekir Emre Altun Hasan Uzel Enes Kaymaz |
| author_sort | Muhammet Demirbas |
| collection | DOAJ |
| description | Economic dispatch (ED) is one of the most important problems in terms of energy planning, management, and operation in power systems. This study presents a snow ablation optimizer (SAO) algorithm developed with the fuzzy-based fitness–distance balance (FFDB) method for solving ED problems in small-, medium- and large-scale electric power systems and determining the optimal operating values of fossil fuel thermal generation units. The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration–exploitation and improves the solving of high-dimensional optimization problems. In the light of extensive experimental studies conducted on CEC2020, CEC2022, and classical benchmark test functions, the FFDBSAO2 algorithm has shown superior performance against its competitors. Wilcoxon and Friedman’s statistical analysis results confirm the performance and efficiency of the algorithm. Moreover, the proposed algorithm significantly reduces total fuel cost by optimizing fossil fuel thermal generation units. According to the results, the scalability and robustness of the algorithm make it a valuable tool for solving large-scale optimization problems in the planning of electric power systems. |
| format | Article |
| id | doaj-art-71a4ed4268e04babb4082c1124b60f21 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-71a4ed4268e04babb4082c1124b60f212025-08-20T03:26:52ZengMDPI AGEnergies1996-10732025-06-011812304810.3390/en18123048Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power SystemsMuhammet Demirbas0Serhat Duman1Burcin Ozkaya2Yunus Balci3Deniz Ersoy4M. Kenan Döşoğlu5Ugur Guvenc6Bekir Emre Altun7Hasan Uzel8Enes Kaymaz9Department of Electrical and Energy, Tosya Vocational School, Kastamonu University, 37302 Kastamonu, TurkeyDepartment of Electrical Engineering, Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University, 10200 Bandirma, TurkeyDepartment of Electrical Engineering, Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University, 10200 Bandirma, TurkeyDepartment of Electrical Engineering, Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University, 10200 Bandirma, TurkeyPostgraduate Education Institute, Bandirma Onyedi Eylül University, 10200 Bandirma, TurkeyDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Duzce University, 81620 Duzce, TurkeyDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Duzce University, 81620 Duzce, TurkeyDepartment of Electrical and Energy, Amasya Technical Sciences Vocational School, Amasya University, 05000 Amasya, TurkeyDepartment of Electrical and Energy, Akdagmadeni Vocational School, Yozgat Bozok University, 66100 Yozgat, TurkeyDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Duzce University, 81620 Duzce, TurkeyEconomic dispatch (ED) is one of the most important problems in terms of energy planning, management, and operation in power systems. This study presents a snow ablation optimizer (SAO) algorithm developed with the fuzzy-based fitness–distance balance (FFDB) method for solving ED problems in small-, medium- and large-scale electric power systems and determining the optimal operating values of fossil fuel thermal generation units. The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration–exploitation and improves the solving of high-dimensional optimization problems. In the light of extensive experimental studies conducted on CEC2020, CEC2022, and classical benchmark test functions, the FFDBSAO2 algorithm has shown superior performance against its competitors. Wilcoxon and Friedman’s statistical analysis results confirm the performance and efficiency of the algorithm. Moreover, the proposed algorithm significantly reduces total fuel cost by optimizing fossil fuel thermal generation units. According to the results, the scalability and robustness of the algorithm make it a valuable tool for solving large-scale optimization problems in the planning of electric power systems.https://www.mdpi.com/1996-1073/18/12/3048fuzzy fitness–distance balance methodoptimizationsnow ablation optimizereconomic dispatchpower system planning |
| spellingShingle | Muhammet Demirbas Serhat Duman Burcin Ozkaya Yunus Balci Deniz Ersoy M. Kenan Döşoğlu Ugur Guvenc Bekir Emre Altun Hasan Uzel Enes Kaymaz Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems Energies fuzzy fitness–distance balance method optimization snow ablation optimizer economic dispatch power system planning |
| title | Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems |
| title_full | Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems |
| title_fullStr | Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems |
| title_full_unstemmed | Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems |
| title_short | Fuzzy-Based Fitness–Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems |
| title_sort | fuzzy based fitness distance balance snow ablation optimizer algorithm for optimal generation planning in power systems |
| topic | fuzzy fitness–distance balance method optimization snow ablation optimizer economic dispatch power system planning |
| url | https://www.mdpi.com/1996-1073/18/12/3048 |
| work_keys_str_mv | AT muhammetdemirbas fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT serhatduman fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT burcinozkaya fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT yunusbalci fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT denizersoy fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT mkenandosoglu fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT ugurguvenc fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT bekiremrealtun fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT hasanuzel fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems AT eneskaymaz fuzzybasedfitnessdistancebalancesnowablationoptimizeralgorithmforoptimalgenerationplanninginpowersystems |