System Dependent Performance Analysis of Metaheuristic Algorithms for DOCR Coordination in Distribution Networks and Microgrids
International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA), Ankara, Türkiye, 21 - 23 Mayıs 2026, ss.1-6, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/ichora69329.2026.11537118
- Basıldığı Şehir: Ankara
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.1-6
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
Directional Overcurrent Relay (DOCR) coordination plays a critical role in ensuring reliable and selective protection in modern power systems. Although numerous studies have demonstrated the effectiveness of metaheuristic optimization algorithms in distribution networks, their performance in micro-grid environments remains uncertain due to distinct operational characteristics, such as low fault current levels and bidirectional power flows. This study investigates the system-dependent performance of three metaheuristic algorithms, namely Artificial Rabbits Optimization (ARO), Nutcracker Optimization Algorithm (NOA), and Transit Search Optimization (TSO), in both distribution networks and microgrids. The DOCR coordination problem is formulated as a constrained optimization problem aiming to minimize the total operating time of primary relays while satisfying coordination constraints. The results show that, in the 6-bus microgrid system, NOA achieves the best performance with a total operating time of 0.5601 s, followed by TSO (0.6462 s) and ARO (0.8738 s). In contrast, previous distribution system results indicate that ARO provides superior performance in small and medium-scale networks (0.23 s in 3-bus and 2.86 s in 8-bus systems), while NOA becomes more effective in larger systems (5.25 s in 15-bus systems). These findings demonstrate that algorithm performance is strongly dependent on system structure, and optimization strategies developed for distribution systems cannot be directly transferred to microgrid environments without performance degradation. Therefore, system-aware algorithm selection is essential for effective DOCR coordination in modern power systems.