Original Articles

Vol. 25 No. 1 (2025): ELECTRICA

Off-Grid Hybrid Renewable Energy System Based on BoostedSewing Algorithm and Photovoltaic-Fuel Cell

Main Article Content

Wenjia Du
Hongqian Ji
Haodong Peng
Hongxian Rui
Jun Li

Abstract

The authors optimized a hybrid photovoltaic/fuel cell system by employing the BoostedSewing algorithm, achieving significant technical and economic benefits. Experimental results demonstrate that the BoostedSewing algorithm excels in convergence speed, computational efficiency, and system performance. It effectively
enhances system efficiency, reduces the levelized cost of energy, and shortens the payback period to 6.3 years. The system demonstrates excellent performance in load response, seasonal performance, and stability, particularly in controlling voltage and frequency fluctuations, ensuring high-quality and stable power supply. Compared to
traditional algorithms, the BoostedSewing algorithm exhibits superior efficiency across all aspects, showcasing broad application prospects.

Cite this article as: W. Du, H. Ji, H. Peng, H. Rui and J. Li, “Off-grid hybrid renewable energy system based on BoostedSewing algorithm and photovoltaic-fuel cell,”
Electrica. 2025, 25, 0051, doi: 10.5152/electrica.2025.25104.

Article Details