Operational simulation of wind power plants for electrolytic hydrogen production connected to a distributed electricity generation grid

Two procedures are analyzed to control the flow of hydrogen produced by an electrolyzer in a plant connected to a distributed electricity grid. The general idea of both procedures is to approximate the consumption power of the electrolyzer to the tracked hourly mean useful power of a wind generation system. The first technique uses a perceptron to predict hourly wind-speed values as the basis for the power consumption of the electrolyzer. The second approximates the hourly consumption of the electrolyzer to the useful power of the wind generation system over the previous hour. Calculations have shown that the control procedure, using either one of these two techniques, leads to substantial improvements in the main parameters of the plant, compared to an installation in which electrolyzer consumption is constant. In particular, the number of batteries in the accumulation system may be reduced. Moreover, considering the possibility that the hydrogen production plant might supply electricity to the external electricity grid, various objectives for operational optimization of the installation are analyzed. A function that defines the joint exploitation of the wind energy by the electrolyzer and the external electricity grid is introduced and then, by using that function, an optimal operating regime for the plant is determined.

[1]  Arif Hepbasli,et al.  Sustainable assessment of solar hydrogen production techniques , 2012 .

[2]  Hua-Yueh Liu Regeneration of Kinmen military installations through the integration of renewable energy technologies and battlefield resources , 2012 .

[3]  Eamon McKeogh,et al.  Techno-economic review of existing and new pumped hydro energy storage plant , 2010 .

[4]  Ø. Ulleberg Modeling of advanced alkaline electrolyzers: a system simulation approach , 2003 .

[5]  D. Fouquet Policy instruments for renewable energy – From a European perspective , 2013 .

[6]  Tomonobu Senjyu,et al.  Optimal operation of DC smart house system by controllable loads based on smart grid topology , 2012 .

[7]  Andrew Kusiak,et al.  Wind farm power prediction: a data‐mining approach , 2009 .

[8]  Chung-Jen Tseng,et al.  Effects of hydrogen addition on methane combustion in a porous medium burner , 2002 .

[9]  M. Santarelli,et al.  Fitting regression model and experimental validation for a high-pressure PEM electrolyzer , 2009 .

[10]  S. A. Sherif,et al.  Wind energy and the hydrogen economy—review of the technology , 2005 .

[11]  Ibrahim Dincer,et al.  On hydrogen and hydrogen energy strategies II: future projections affecting global stability and unrest , 2005 .

[12]  Andreas Poullikkas,et al.  Overview of current and future energy storage technologies for electric power applications , 2009 .

[13]  J. Mergel,et al.  Highly efficient advanced alkaline electrolyzer for solar operation , 1992 .

[14]  Tomonobu Senjyu,et al.  Control strategy for a distributed DC power system with renewable energy , 2011 .

[15]  Hamidreza Zareipour,et al.  A practical eco-environmental distribution network planning model including fuel cells and non-renewable distributed energy resources , 2011 .

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

[17]  Hans Bernhoff,et al.  Flywheel energy and power storage systems , 2007 .

[18]  Christophe Nicolet,et al.  Increasing wind power penetration in autonomous power systems through no-flow operation of Pelton turbines , 2014 .

[19]  Marcelo G. Molina,et al.  Stabilization and control of tie-line power flow of microgrid including wind generation by distributed energy storage , 2010 .

[20]  R. Valdés,et al.  Procedure for optimal design of hydrogen production plants with reserve storage and a stand-alone photovoltaic power system , 2012 .

[21]  F. Orecchini,et al.  Beyond smart grids The need of intelligent energy networks for a higher global efficiency through , 2011 .

[22]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[23]  Pierre Millet,et al.  Design and performance of a solid polymer electrolyte water electrolyzer , 1996 .

[24]  Francesco Castelli-Dezza,et al.  Control strategies and configurations of hybrid distributed generation systems , 2012 .

[25]  A. Tapia,et al.  Application of a control algorithm for wind speed prediction and active power generation , 2005 .

[26]  Ibrahim Dincer,et al.  On hydrogen and hydrogen energy strategies. I: current status and needs , 2005 .

[27]  Ebrahim Farjah,et al.  Control strategy for distributed integration of photovoltaic and energy storage systems in DC micro-grids , 2012 .

[28]  C. Træholt,et al.  Superconducting wind turbine generators , 2010 .

[29]  N. El Halabi,et al.  Distributed generation network design considering ground capacitive couplings , 2012 .

[30]  Maria Ines Valla,et al.  Analysis and simulation of a hydrogen based electric system to improve power quality in distributed grids , 2012 .