img
img
Design and Optimization of a Hybrid Energy Storage System Using the Dandelion Optimization Algorithm in Islanded Rural DC Microgrids   
Yazarlar (3)
İzviye Fatımanur Tepe
Dr. Öğr. Üyesi Oğuz TAŞDEMİR Dr. Öğr. Üyesi Oğuz TAŞDEMİR
Türkiye
Erdal Irmak
Gazi Üniversitesi, Türkiye
Devamını Göster
Özet
The prevalence of microgrid systems has increased in recent years, with the objective of providing solutions to the global energy demand and to support the electrification of rural areas. These systems, which are generally based on renewable resources, suffer from stability problems due to the variability of resources. Energy storage systems are critical to overcoming this problem. However, batteries are limited due to performance loss over time and high maintenance costs. Therefore, Hybrid Energy Storage Systems (HESS) supported by supercapacitors come to the forefront. In this study, a solar and wind powered HESS for a rural island microgrid is designed and cost and sizing optimization is performed using the Dandelion Optimization Algorithm. Simulation results show that HESS reduces costs, increases system performance and improves energy efficiency.
Anahtar Kelimeler
cost optimization | dandelion optimization algorithm | hybrid energy storage system (HESS) | rural microgrid
Bildiri Türü Tebliğ/Bildiri
Bildiri Alt Türü Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum)
Bildiri Niteliği Web of Science Kapsamındaki Kongre/Sempozyum
Bildiri Dili İngilizce
Kongre Adı 2025 13th International Conference on Smart Grid (icSmartGrid)
Kongre Tarihi 27-05-2025 / 27-05-2025
Basıldığı Ülke İrlanda
Basıldığı Şehir Glasgow/United Kingdom