Experimental performance assessment of an online energy management strategy for varying renewable power production suppression

• Published in: International journal of hydrogen energy 2012-03, Vol.37 (6), p.4737-4748
• Main Authors: Erdinc, O., Elma, O., Uzunoglu, M., Selamogullari, U.S., Vural, B., Ugur, E., Boynuegri, A.R., Dusmez, S.
• Format: Article
• Language: English
• Subjects: Alternative fuels. Production and utilization; Applied sciences; Dynamical systems; Energy; Energy management; Energy use; Exact sciences and technology; Fuels; Fuzzy logic; Hybrid system; Hybrid systems; Hydrogen; PEM fuel cell; Photovoltaic; Renewable energy; Solar energy; Solar power generation; Strategy; Wind power generation; Wind turbine
• ISSN: 0360-3199; 1879-3487
• DOI: 10.1016/j.ijhydene.2011.12.042

Lately, interest in renewable sources, especially wind and solar energy, has shown a significant increase in all over the world that mostly depends on climate-threatening conventional fossil fuels. Besides, hybrid use of these power sources with suitable back-up units provides many advantages compared to sole use of these sources. In this regard, a hybrid system consisting of a wind turbine for utilizing the wind energy, photovoltaic panels for solar energy, fuel cell for providing back-up power and a battery unit for storing the possible excess energy production and supplying the transient load is considered in this study. Experimental assessment of this system in different case studies including the real time measured dynamic power demand of an office block is realized. The collaborative actions of the proposed hybrid system with a fuzzy logic based energy management strategy during fluctuations of renewable-based power production are investigated. Thus, results of this study may be valuable for evaluating the feasibility of stand-alone hybrid renewable energy units for future power systems. ► Experimental analysis of a stand-alone hybrid system. ► Construction of a test bench and all necessary power conditioning units. ► Application of fuzzy logic for hybrid system energy management. ► Evaluation of hybrid system performance for suppression of varying renewable power.