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

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.

[1]  Prashant Baredar,et al.  Solar–wind hybrid renewable energy system: A review , 2016 .

[2]  A. Anouar,et al.  Évaluation et contrôle d'un système hybride à énergie renouvelable pour un site isolé , 2003 .

[3]  Ponnuthurai Nagaratnam Suganthan,et al.  Ensemble methods for wind and solar power forecasting—A state-of-the-art review , 2015 .

[4]  Henk Jan Bergveld,et al.  Battery Management Systems: Accurate State-of-Charge Indication for Battery-Powered Applications , 2008 .

[5]  A. J. Calderón,et al.  Automatic management of energy flows of a stand-alone renewable energy supply with hydrogen support , 2010 .

[6]  P. Seferlis,et al.  Power management strategies for a stand-alone power system using renewable energy sources and hydrogen storage , 2009 .

[7]  Roberto Carapellucci,et al.  Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systems , 2012 .

[8]  M. Reyasudin Basir Khan,et al.  Multi-agent based distributed control architecture for microgrid energy management and optimization , 2016 .

[9]  S. E. Hosseini,et al.  Hydrogen production from renewable and sustainable energy resources: Promising green energy carrier for clean development , 2016 .

[10]  Francisco Jurado,et al.  Control based on techno-economic optimization of renewable hybrid energy system for stand-alone applications , 2016, Expert Syst. Appl..

[11]  Sousso Kelouwani,et al.  Power management system for off-grid hydrogen production based on uncertainty , 2015 .

[12]  R. P. Saini,et al.  A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control , 2014 .

[13]  Ozan Erdinc,et al.  Experimental performance assessment of an online energy management strategy for varying renewable power production suppression , 2012 .

[14]  Prabodh Bajpai,et al.  Power management control strategy for a stand-alone solar photovoltaic-fuel cell–battery hybrid system , 2015 .

[15]  The impact of renewable energy intermittency on the operational characteristics of a stand-alone hydrogen generation system with on-site water production , 2013 .

[16]  K. Strunz,et al.  A review of hybrid renewable/alternative energy systems for electric power generation: Configurations, control and applications , 2011, 2012 IEEE Power and Energy Society General Meeting.

[17]  M Newborough,et al.  Hybrid hydrogen-battery systems for renewable off-grid telecom power , 2015 .

[18]  Luis M. Fernández,et al.  Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic , 2013 .

[19]  J. Labbé,et al.  L'Hydrogène électrolytique comme moyen de stockage d'électricité pour systèmes photovoltaïques isolés , 2006 .

[20]  José Guerra,et al.  Energy Management Strategies in hydrogen Smart-Grids: A laboratory experience , 2016 .

[21]  Luis Gerardo Arriaga,et al.  A hybrid power plant (Solar–Wind–Hydrogen) model based in artificial intelligence for a remote-housing application in Mexico , 2013 .

[22]  Lawrence E. Jones,et al.  Renewable Energy Integration: Practical Management of Variability, Uncertainty, and Flexibility in Power Grids , 2014 .

[23]  T. Ross.  Fuzzy Logic with Engineering Applications , 1994 .

[24]  G. H. Riahy,et al.  Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages , 2009 .

[25]  Abdollah Kavousi-Fard,et al.  Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices , 2013 .

[26]  Fan Zhang,et al.  Power management control for off-grid solar hydrogen production and utilisation system , 2013 .

[27]  Ganesh Kothapalli,et al.  Predictive power management strategies for stand-alone hydrogen systems: Lab-scale validation , 2015 .

[28]  Mahmoud Moghavvemi,et al.  Energy management strategies in hybrid renewable energy systems: A review , 2016 .

[29]  Spyros Voutetakis,et al.  Optimum design and operation under uncertainty of power systems using renewable energy sources and hydrogen storage , 2010 .

[30]  Mohammad Jafari Jozani,et al.  Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods , 2014, IEEE Transactions on Sustainable Energy.

[31]  Luis M. Fernández,et al.  Sizing optimization, dynamic modeling and energy management strategies of a stand-alone PV/hydrogen/battery-based hybrid system , 2013 .

[32]  Stefano Cordiner,et al.  A study on the energy management in domestic micro-grids based on Model Predictive Control strategies☆ , 2015 .

[33]  Nima Nikmehr,et al.  Optimal operation of distributed generations in micro-grids under uncertainties in load and renewable power generation using heuristic algorithm , 2015 .

[34]  Brian Vad Mathiesen,et al.  Smart Energy Systems for coherent 100% renewable energy and transport solutions , 2015 .

[35]  Seyed Hossein Hosseinian,et al.  A comprehensive method for optimal power management and design of hybrid RES-based autonomous energy systems , 2012 .

[36]  D. Stolten,et al.  A comprehensive review on PEM water electrolysis , 2013 .

[37]  Sihem Nasri,et al.  Power management strategy for hybrid autonomous power system using hydrogen storage , 2016 .

[38]  Jun Shen,et al.  A review of PEM fuel cell durability: Degradation mechanisms and mitigation strategies , 2008 .

[39]  Andrew Crossland,et al.  A Linear Programming Approach for Battery Degradation Analysis and Optimization in Offgrid Power Systems with Solar Energy Integration , 2017 .

[40]  I. Abadlia,et al.  Energy management strategy based on fuzzy logic for compound RES/ESS used in stand-alone application , 2016 .

[41]  Søren Knudsen Kær,et al.  Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system , 2014 .