Güç Sistemlerinde Aşırı Akım Röle Ayarlarının Metasezgisel Optimizasyon Teknikleri ile İyileştirilmesi

Abstract

Güç sistemlerinde artan yük talebi, dağıtık üretim kaynaklarının entegrasyonu ve ağ yapılarındaki karmaşıklık, koruma sistemlerinin daha hızlı, hassas ve esnek olmasını zorunlu kılmaktadır. Bu bağlamda, aşırı akım rölelerinin doğru şekilde koordine edilmesi, sistemin güvenli ve kararlı çalışabilmesi açısından kritik bir gerekliliktir. Ancak geleneksel yöntemler, özellikle geniş ölçekli şebekelerde optimal ayarların belirlenmesinde yetersiz kalmakta; bu durum, çözüm uzayını daha etkin tarayabilen metasezgisel optimizasyon algoritmalarını öne çıkarmaktadır. Bu çalışmada, IEEE 33 baralı bir radyal dağıtım sistemi üzerinde Genetik Algoritma (GA), Kara Delik Algoritması (BHA), Koku Ajanı Optimizasyonu (SAO), Lig Şampiyonu Algoritması (LCA) ve Geçiş Arama Optimizasyonu (TSO) algoritmaları kullanılarak aşırı akım röle koordinasyonu optimize edilmiştir. Her algoritma eşit başlangıç koşullarında değerlendirilmiş; röle zaman çarpanı ve eşik akım parametreleri optimize edilerek toplam işletme süresinin en aza indirilmesi hedeflenmiştir. Çalışma sonuçlarına göre, en düşük toplam işletme süresi olan 4.53 s TSO algoritması ile elde edilmiş ve bu algoritma en yüksek optimizasyon başarısını göstermiştir. Diğer algoritmalarla karşılaştırıldığında TSO; LCA’ya göre %41.95, SAO’ya göre %73.96, BHA’ya göre %84.99 ve GA’ya göre %86.32 oranında daha iyi performans sergilemiştir. Özellikle TSO ve SAO’nun bu probleme ilk kez uygulanmış olması ve başarılı sonuçlar elde etmesi çalışmanın özgün yönlerindendir. LCA ise, çözüm kalitesi ile işlem süresi arasındaki dengeli yapısıyla pratik uygulamalarda güçlü bir alternatif olarak değerlendirilmektedir.

Keywords

• Aşırı akım röle koordinasyonu
• Genetik Algoritma (GA)
• Kara Delik Algoritması (BHA)
• Koku Ajanı Optimizasyonu (SAO)
• Lig Şampiyonu Algoritması (LCA)
• Geçiş Arama Optimizasyonu (TSO)

Improvement of Overcurrent Relay Settings in Power Systems Using Metaheuristic Optimization Techniques

Abstract

The increasing load demand, the integration of distributed generation sources, and the growing complexity of network structures have necessitated protection systems in power grids to become faster, more accurate, and more flexible. In this context, the proper coordination of overcurrent relays is a critical requirement for ensuring the safe and stable operation of the system. However, conventional methods are often inadequate in determining optimal settings, especially in large-scale networks. This limitation highlights the importance of metaheuristic optimization algorithms that can explore the solution space more effectively. In this study, overcurrent relay coordination was optimized on an IEEE 33-bus radial distribution system using five metaheuristic algorithms: Genetic Algorithm (GA), Black Hole Algorithm (BHA), Smell Agent Optimization (SAO), League Championship Algorithm (LCA), and Transit Search Optimization (TSO). Each algorithm was evaluated under equal initial conditions, with the objective of minimizing the total operating time by optimizing the time dial setting (TDS) and pickup current (PS) parameters. According to the results, the lowest total operating time of 4.53 s was achieved using the TSO algorithm, which demonstrated the highest optimization performance. When compared with the other algorithms, TSO outperformed LCA by 41.95%, SAO by 73.96%, BHA by 84.99%, and GA by 86.32%. A notable contribution of this study is the first-time application of TSO and SAO to this problem, both of which yielded successful results. Furthermore, LCA is considered a strong alternative in practical applications due to its balanced performance between solution quality and computational efficiency.

Keywords

• Overcurrent Relay Coordination
• Genetic Algorithm (GA)
• Black Hole Algorithm (BHA)
• Smell Agent Optimization (SAO)
• League Championship Algorithm (LCA)
• Transit Search Optimization (TSO)

References

1. Langazane SN, Saha AK. Effects of particle swarm optimization and genetic algorithm control parameters on overcurrent relay selectivity and speed. IEEE Access 2022;10:4550–67. doi:10.1109/ACCESS.2022.3140679.
2. Shih MY, et al. A decoupled adaptive overcurrent coordination considering N-1 contingency and distributed generation using an effective evonorm algorithm. IEEE Transactions on Industry Applications 2024;60(4):5480–9. doi:10.1109/TIA.2024.3384344.
3. Godwal SD, Chatterjee S, Nimje AA. A method to formulate accurate problem statement for overcurrent relay coordination. In: 2024 IEEE 4th International Conference on Sustainable Energy Future and Electric Transport (SEFET). 2024. doi:10.1109/SEFET61574.2024.10718163.
4. Olabisi PO, Ayegbokiki BJ. A review of the coordination of over-current relay protection in sub-transmission stations using computational optimization techniques. In: International Conference on Science, Engineering, and Business for Sustainable Development Goals (SEB4SDG). 2024. doi:10.1109/SEB4SDG60871.2024.10630102.
5. Alejandre JD, Pacis MC. Adaptive coordination of time overcurrent relays (OCR) in a radial distribution network with distributed generation using a modified LINKNET pairing algorithm. In: 2024 10th International Conference on Automation, Robotics, and Applications (ICARA). 2024, p. 407–10. doi:10.1109/ICARA60736.2024.10552953.
6. Seng O, Pujiantara M, Priyadi A, Mahindara VR. Enhancement of overcurrent relay coordination in modern industrial distribution system using adaptive modified firefly algorithm. In: 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2023, p. 534–9. doi:10.1109/ISITIA59021.2023.10221107.
7. Khan S, Pujiantara M, Priyadi A. Optimal setting of overcurrent relay coordination on real power system PT. Pupuk Sriwidjaja using modified particle swarm optimization algorithm. In: 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2023, p. 540–5. doi:10.1109/ISITIA59021.2023.10221060.
8. Ramadhan CA, Pujiantara M, Priyadi A. Optimization of overcurrent relay in radial networks using adaptive modified firefly algorithm considering inrush current transformers and motor starting. In: 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2023, p. 822–7. doi:10.1109/ISITIA59021.2023.10221143.

9. Jamal NZ, Azmi AHABF. Optimization of overcurrent relays coordination using artificial hummingbird algorithm (AHA). In: 2023 IEEE 11th Conference on System Process Control (ICSPC). 2023, p. 66–71. doi:10.1109/ICSPC59664.2023.10420096.
10. Pratiwi RA, Pujiantara M, Priyadi A. Optimization of time dial setting overcurrent relay using cuckoo search algorithm considering inrush current and motor starting. In: 11th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE). 2024, p. 128–33. doi:10.1109/ICITACEE62763.2024.10762774.
11. Gairola E, Rawat MS. Optimum coordination and settings of overcurrent relays using teaching learning based optimization in a distribution system. In: 2023 IEEE 8th International Conference on Convergence Technology (I2CT). 2023. doi:10.1109/I2CT57861.2023.10126242.
12. Kuriakose A, Balamurugan S. Optimum overcurrent relay coordination in radial system using particle swarm optimization. In: 2023 IEEE 7th Conference on Information and Communication Technology (CICT). 2023. doi:10.1109/CICT59886.2023.10455379.
13. Putra RSFJ, Pujiantara M, Lystianingrum V. Overcurrent relay coordination setting on distribution power system using grasshopper optimization algorithm. In: 2023 International Seminar on Intelligent Technology and Its Applications (ISITIA). 2023, p. 804–9. doi:10.1109/ISITIA59021.2023.10221124.
14. Arslanoğlu İ, Altaş İH. Optimization and performance comparison of overcurrent relay settings in power systems using genetic algorithm, league championship algorithm, and black hole algorithm. In: 2025 Innovations in Intelligent Systems and Applications Conference (ASYU). 2025, p. 1-6. doi:10.1109/ASYU67174.2025.11208362.
15. Arslanoğlu İ, Nuroğlu FM, Altaş İH. Comparative performance analysis of transit search optimization and particle swarm optimization for overcurrent relay coordination in radial system. Gazi Journal of Engineering Sciences 2025;11(1):104-20. doi:10.30855/gmbd.070525N07.
16. Atsever MB, Hocaoglu MH. Mitigation of sympathy trips in highly cabled non-effectively earthed radial distribution systems via MINLP. Electric Power Systems Research 2023;220:109377. doi:10.1016/j.epsr.2023.109377.
17. Atsever M, Hocaoğlu M. Optimal Overcurrent Relay Coordination in Distribution Networks Using Path Finder Algorithm. TESKONGRE 2023; 2024. Available from: https://aperta.ulakbim.gov.tr/record/263793/files/Atsever_TESKONGRE_2023.pdf.
18. Atsever MB, Hocaoğlu MH. Aşırı Akım Röle Koordinasyonu için Bozkurt Algoritmasının Kapsamlı Performans Analizi. Türk Mühendislik Araştırma Ve Eğitimi Dergisi 2022;1(2):52-61.
19. El-Shorbagy MA, El-Refaey AM. A hybrid genetic–firefly algorithm for engineering design problems. Journal of Computational Design and Engineering 2022;9(2):706–30. doi:10.1093/JCDE/QWAC013.
20. Foqha T, et al. Optimal coordination of directional overcurrent relays using hybrid firefly–genetic algorithm. Energies 2023;16(14):5328. doi:10.3390/EN16145328.
21. Rizal AS, et al. Study of overcurrent relays coordination optimization based on genetic algorithms. In: Proceedings of the 2nd International Conference on Technology and Policy in Electrical Power and Energy (ICT-PEP). 2020, p. 100–3. doi:10.1109/ICT-PEP50916.2020.9249853.
22. Deeb H, Sarangi A, Mishra D, Sarangi SK. Improved black hole optimization algorithm for data clustering. Journal of King Saud University – Computer and Information Sciences 2022;34(8):5020–9. doi:10.1016/j.jksuci.2020.12.013.
23. Salawudeen AT, Mu’azu MB, Yusuf A, Adedokun AE. A novel smell agent optimization (SAO): An extensive CEC study and engineering application. Knowledge-Based Systems 2021;232:107486. doi:10.1016/j.knosys.2021.107486.
24. Özgüner Ö, Seyyarer E, et al. Comparative analysis of optimization algorithms in overcurrent relay optimization. Teknik Dergi 2023;12(4):25–32. doi:10.46810/tdfd.1311104.
25. Seyyarer E, et al. Fidan Gelişim ve Lig Şampiyonluk Algoritmaları Kullanarak Aşırı-Akım Rölelerin Optimum Koordinasyonu. Anatolian Journal of Computer Science 2023;3(2):1-14.
26. Mirrashid M, Naderpour H. Transit search: An optimization algorithm based on exoplanet exploration. Results in Control and Optimization 2022;7:100127. doi:10.1016/j.rico.2022.100127.
27. Amin MS, Attia MA, Khamees AK, Mekhamer SF, Kotb H, AboRas KM, et al. Development of AVR controller performance using exponential distribution and transit search optimization techniques. Frontiers in Energy Research 2024;12:1356978. doi:10.3389/fenrg.2024.1356978.
28. Arslanoğlu İ, Altaş İH, Kılıç H. Performance evaluation of advanced metaheuristic algorithms for directional overcurrent relay coordination in distribution networks. Sci Rep 2025. doi:10.1038/s41598-025-32416-w.