Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation
•The design of a combined cooling/heat/power and hydrogen microgrid system.•The integration of a degradation model of the fuel cell and the electrolyzer.•Three operation strategies are compared to analyze the influence on sizing results.•A 1-h resolution rolling-horizon simulation is used to check t...
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| Veröffentlicht in: | Applied energy Jg. 205; S. 1244 - 1259 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Elsevier Ltd
01.11.2017
Elsevier |
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| ISSN: | 0306-2619, 1872-9118 |
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| Abstract | •The design of a combined cooling/heat/power and hydrogen microgrid system.•The integration of a degradation model of the fuel cell and the electrolyzer.•Three operation strategies are compared to analyze the influence on sizing results.•A 1-h resolution rolling-horizon simulation is used to check the results.•A robust method is used to assess the impact of the forecasting errors.
Microgrids are small-scale power systems with local generation, storage systems and load demands, that can operate connected to the main grid or islanded. In such systems, optimal components sizing is necessary to make the system secure and reliable, while minimizing costs. In this paper, a stand-alone microgrid considering electric power, cooling/heating and hydrogen consumption is built. A unit commitment algorithm, formulated as a mixed integer linear programming problem, is used to determine the best operation strategy for the system. A genetic algorithm is used to search for the best size of each component. The influence of three factors (operation strategy, accuracy of load and renewable generation forecasts, and degradation of fuel cell, electrolyzer and battery) on sizing results is discussed. A 1-h rolling horizon simulation is used to check the validity of the sizing results. A robust optimization method is also used to handle the uncertainties and evaluate their impact on results. |
|---|---|
| AbstractList | •The design of a combined cooling/heat/power and hydrogen microgrid system.•The integration of a degradation model of the fuel cell and the electrolyzer.•Three operation strategies are compared to analyze the influence on sizing results.•A 1-h resolution rolling-horizon simulation is used to check the results.•A robust method is used to assess the impact of the forecasting errors.
Microgrids are small-scale power systems with local generation, storage systems and load demands, that can operate connected to the main grid or islanded. In such systems, optimal components sizing is necessary to make the system secure and reliable, while minimizing costs. In this paper, a stand-alone microgrid considering electric power, cooling/heating and hydrogen consumption is built. A unit commitment algorithm, formulated as a mixed integer linear programming problem, is used to determine the best operation strategy for the system. A genetic algorithm is used to search for the best size of each component. The influence of three factors (operation strategy, accuracy of load and renewable generation forecasts, and degradation of fuel cell, electrolyzer and battery) on sizing results is discussed. A 1-h rolling horizon simulation is used to check the validity of the sizing results. A robust optimization method is also used to handle the uncertainties and evaluate their impact on results. Microgrids are small-scale power systems with local generation, storage systems and load demands, that can operate connected to the main grid or islanded. In such systems, optimal components sizing is necessary to make the system secure and reliable, while minimizing costs. In this paper, a stand-alone microgrid considering electric power, cooling/heating and hydrogen consumption is built. A unit commitment algorithm, formulated as a mixed integer linear programming problem, is used to determine the best operation strategy for the system. A genetic algorithm is used to search for the best size of each component. The influence of three factors (operation strategy, accuracy of load and renewable generation forecasts, and degradation of fuel cell, electrolyzer and battery) on sizing results is discussed. A 1-h rolling horizon simulation is used to check the validity of the sizing results. A robust optimization method is also used to handle the uncertainties and evaluate their impact on results. |
| Author | Paire, Damien Roche, Robin Li, Bei Miraoui, Abdellatif |
| Author_xml | – sequence: 1 givenname: Bei surname: Li fullname: Li, Bei email: bei.li@utbm.fr organization: FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comte, UTBM, rue Thierry Mieg, F-90010 Belfort Cedex, France – sequence: 2 givenname: Robin surname: Roche fullname: Roche, Robin email: robin.roche@utbm.fr organization: FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comte, UTBM, rue Thierry Mieg, F-90010 Belfort Cedex, France – sequence: 3 givenname: Damien surname: Paire fullname: Paire, Damien email: damien.paire@utbm.fr organization: FEMTO-ST, CNRS, Univ. Bourgogne Franche-Comte, UTBM, rue Thierry Mieg, F-90010 Belfort Cedex, France – sequence: 4 givenname: Abdellatif surname: Miraoui fullname: Miraoui, Abdellatif email: abdellatif.miraoui@utbm.fr organization: Univ. Bourgogne Franche-Comte, UTBM, rue Thierry Mieg, F-90010 Belfort Cedex, France |
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| Keywords | Degradation Multi-energy Microgrid Sizing Evolutionary algorithm Unit commitment |
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| Title | Sizing of a stand-alone microgrid considering electric power, cooling/heating, hydrogen loads and hydrogen storage degradation |
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