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Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system
dc.contributor.author | Torreglosa J.P. | |
dc.contributor.author | García P. | |
dc.contributor.author | Fernández L.M. | |
dc.contributor.author | Jurado F. | |
dc.date.accessioned | 2020-09-02T22:29:18Z | |
dc.date.available | 2020-09-02T22:29:18Z | |
dc.date.issued | 2015 | |
dc.identifier | 10.1016/j.renene.2014.08.010 | |
dc.identifier.citation | 74, , 326-336 | |
dc.identifier.issn | 09601481 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12728/6407 | |
dc.description | This paper presents a novel energy dispatching based on Model Predictive Control (MPC) for off-grid photovoltaic (PV)/wind turbine/hydrogen/battery hybrid systems. The renewable energy sources supply energy to the hybrid system and the battery and hydrogen system are used as energy storage devices. The denominated "hydrogen system" is composed of fuel cell, electrolyzer and hydrogen storage tank. The MPC generates the reference powers of the fuel cell and electrolyzer to satisfy different objectives: to track the load power demand and to keep the charge levels of the energy storage devices between their target margins. The modeling of the hybrid system was developed in MATLAB-Simulink, taking into account datasheets of commercially available components. To show the proper operation of the proposed energy dispatching, a simpler strategy based on state control was presented in order to compare and validate the results for long-term simulations of 25 years (expected lifetime of the system) with a sample time of one hour. © 2014 Elsevier Ltd. | |
dc.language.iso | en | |
dc.publisher | Elsevier Ltd | |
dc.subject | Energy dispatching | |
dc.subject | Hydrogen system | |
dc.subject | Off-grid system | |
dc.subject | Predictive control | |
dc.subject | Renewable energy | |
dc.subject | Electrolytic cells | |
dc.subject | Fuel cells | |
dc.subject | Hybrid systems | |
dc.subject | Hydrogen | |
dc.subject | Hydrogen storage | |
dc.subject | Model predictive control | |
dc.subject | Renewable energy resources | |
dc.subject | Wind turbines | |
dc.subject | Energy dispatching | |
dc.subject | Hydrogen system | |
dc.subject | Off-grid system | |
dc.subject | Predictive control | |
dc.subject | Renewable energies | |
dc.subject | Predictive control systems | |
dc.subject | energy dissipation | |
dc.subject | energy efficiency | |
dc.subject | fuel cell | |
dc.subject | numerical model | |
dc.subject | simulation | |
dc.subject | control system | |
dc.subject | energy resource | |
dc.subject | hydrogen | |
dc.subject | photovoltaic system | |
dc.subject | renewable resource | |
dc.subject | software | |
dc.subject | wind turbine | |
dc.title | Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system | |
dc.type | Article |