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Experimental evaluation of a power management system for a hybrid renewable energy system with hydrogen production

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  • Higuita Cano, Mauricio
  • Agbossou, Kodjo
  • Kelouwani, Sousso
  • Dubé, Yves

Abstract

This study presents a power management system (PMS) for a hybrid renewable-energy system (HRES) using hydrogen as an energy vector. The PMS is based on a fuzzy control system takes into account the uncertainties of the load demand and the power production from renewable energy sources (RES). The fuzzy control system evaluated differs of the traditional PMSs, as it considers a single-level prediction of the DC net power and its uncertainty from of HRES allowing a suitable decision that increases the lifetime of the fuel cell-electrolyzer and boosts the hydrogen production. The robustness of the proposed PMS is evaluated in simulation through a stochastic analysis using the Monte Carlo method (MCM). The probabilistic analysis provided better results for the HRES and its control system. Finally, the fuzzy logic controller (FLC) is tested experimentally applying the Hardware-in-the-Loop (HIL) technique on an HRES test bench. The experimental results are satisfactory, and the response of the control system is as expected.

Suggested Citation

  • Higuita Cano, Mauricio & Agbossou, Kodjo & Kelouwani, Sousso & Dubé, Yves, 2017. "Experimental evaluation of a power management system for a hybrid renewable energy system with hydrogen production," Renewable Energy, Elsevier, vol. 113(C), pages 1086-1098.
    • Handle: RePEc:eee:renene:v:113:y:2017:i:c:p:1086-1098
    DOI: 10.1016/j.renene.2017.06.066
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    2. Yilmaz, Ceyhun, 2018. "A case study: Exergoeconomic analysis and genetic algorithm optimization of performance of a hydrogen liquefaction cycle assisted by geothermal absorption precooling cycle," Renewable Energy, Elsevier, vol. 128(PA), pages 68-80.
    3. Benmouna, Amel & Becherif, Mohamed & Depernet, Daniel & Ebrahim, Mohamed A., 2018. "Novel Energy Management Technique for Hybrid Electric Vehicle via Interconnection and Damping Assignment Passivity Based Control," Renewable Energy, Elsevier, vol. 119(C), pages 116-128.

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