Abstract: This study proposes an innovative hybrid renewable power generation operation and control strategy for Real-time applications. The proposed hybrid renewable power generation system consists of a wind turbine, a battery storage unit, a fuel cell, an electrolyzer and loads. The proposed control strategy is based on averaging the energy and power regulation system. Depending on wind and load conditions, this system generates reference dynamic operating points to low-level individual subsystems. The energy management and electricity regulation system also controls the charging scheduling operation during unfavorable wind conditions under inadequate energy storage to avoid a system blackout. Based on the reference dynamic operating points of the individual subsystems, the local controllers control the wind turbine, fuel cell, electrolyzer and storage battery units. The proposed control system is implemented in MATLAB software and tested for various wind and load conditions. Results are presented and discussed.
N. Kamala Moorthy and S. Suresh Kumar, 2016. Design of Hybrid Energy Averaging Boost Controller (HEAB) For Renewable Applications. Asian Journal of Information Technology, 15: 3693-3702.