Optimization model for a microgrid with fuel cell vehicles

Kazuhiko Shinoda; Esther Park Lee; Masaru Nakano; Zofia Lukszo

doi:10.1109/ICNSC.2016.7479027

Optimization model for a microgrid with fuel cell vehicles

Kazuhiko Shinoda, Esther Park Lee, Masaru Nakano, Zofia Lukszo

Energy and Industry

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

16 Citations (Scopus)

Abstract

Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.

Original language	English
Title of host publication	Proceedings of ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781467399753
DOIs	https://doi.org/10.1109/ICNSC.2016.7479027
Publication status	Published - 2016
Event	13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 - Mexico City, Mexico Duration: 28 Apr 2016 → 30 Apr 2016

Conference

Conference	13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
Country/Territory	Mexico
City	Mexico City
Period	28/04/16 → 30/04/16

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICNSC.2016.7479027

Cite this

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title = "Optimization model for a microgrid with fuel cell vehicles",

abstract = "Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.",

author = "Kazuhiko Shinoda and Lee, {Esther Park} and Masaru Nakano and Zofia Lukszo",

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note = "13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016 ; Conference date: 28-04-2016 Through 30-04-2016",

}

Shinoda, K, Lee, EP, Nakano, M & Lukszo, Z 2016, Optimization model for a microgrid with fuel cell vehicles. in Proceedings of ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control., 7479027, Institute of Electrical and Electronics Engineers (IEEE), 13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016, Mexico City, Mexico, 28/04/16. https://doi.org/10.1109/ICNSC.2016.7479027

Optimization model for a microgrid with fuel cell vehicles. / Shinoda, Kazuhiko; Lee, Esther Park; Nakano, Masaru et al.
Proceedings of ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control. Institute of Electrical and Electronics Engineers (IEEE), 2016. 7479027.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Optimization model for a microgrid with fuel cell vehicles

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AU - Lee, Esther Park

AU - Nakano, Masaru

AU - Lukszo, Zofia

PY - 2016

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N2 - Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.

AB - Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.

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Optimization model for a microgrid with fuel cell vehicles

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