Optimal generation scheduling for a hybrid stand-alone power system using renewable energy sources and hydrogen storage

This paper presents a novel energy management strategy (EMS) for hybrid stand-alone power generation systems powered by renewable energy sources and equipped with batteries and a hydrogen storage section. In particular, the proposed EMS defines the optimal generation scheduling of the two storage devices to minimize operating costs and maximize system efficiency. Since the achievement of the optimal EMS for stand-alone systems powered by renewable energy sources is strongly influenced by the uncertainties of solar and wind resources, a stochastic approach was adopted to deal with these uncertainties. The proposed EMS was used to evaluate the expected annual performance of a microgrid currently under construction at the Concentrating Solar and Hydrogen From Renewable Energy Sources Laboratory, in Sardinia (Italy). The study shows that the current hydrogen storage capacity of the microgrid is insufficient to meet the annual energy requirements, especially in winter months. To highlight the benefits of including weather forecasts and operating costs in the EMS, a comparative analysis with a simpler SOC-based EMS was carried out. The results of the comparative study demonstrate that the proposed EMS leads to a decrease of almost 5-10% in the annual operating costs and energy losses, especially for high values of the hydrogen storage capacity. In particular, for a hydrogen storage capacity of the studied microgrid 10 times higher than the planned one (55 Nm 3 ), the adoption of the proposed EMS can achieve a decrease of about 10% in the annual operating costs and about 6% in the annual energy losses with respect to a conventional SOC-based EMS.

[1]  Theocharis Tsoutsos,et al.  Integration of hydrogen energy technologies in stand-alone power systems analysis of the current potential for applications , 2006 .

[2]  G. Cau,et al.  Assessment of a hybrid stand-alone power system with hydrogen production and storage , 2013 .

[3]  Stefano Pallottino,et al.  A DSS for water resources management under uncertainty by scenario analysis , 2005, Environ. Model. Softw..

[4]  Nigel P. Brandon,et al.  Hydrogen and fuel cells: Towards a sustainable energy future , 2008 .

[5]  Ibrahim Dincer,et al.  A review on solar-hydrogen/fuel cell hybrid energy systems for stationary applications , 2009 .

[6]  Ø. Ulleberg The importance of control strategies in PV–hydrogen systems , 2004 .

[7]  Javier Contreras,et al.  Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage , 2007 .

[8]  Adrian Ilinca,et al.  Energy storage systems—Characteristics and comparisons , 2008 .

[9]  David Infield,et al.  Electrical integration of renewable energy into stand-alone power supplies incorporating hydrogen storage , 2007 .

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

[11]  Dario Bezmalinović,et al.  Techno-economic analysis of PEM fuel cells role in photovoltaic-based systems for the remote base stations , 2013 .

[12]  Daniele Cocco,et al.  Modeling and simulation of an isolated hybrid micro-grid with hydrogen production and storage , 2014 .

[13]  Gerda Gahleitner Hydrogen from renewable electricity: An international review of power-to-gas pilot plants for stationary applications , 2013 .