Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm
In this paper, four fuel economy strategies using power tracking control of the fuel cell boost converter and fuel cell optimization through the control of the fueling regulators were analyzed. The performance and safe operation in conditions of load disturbances and variations of renewable energy w...
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doaj-73faefcc3a7f496d958af0a65f2b9f642020-11-25T04:00:25ZengMDPI AGSustainability2071-10502020-11-01129690969010.3390/su12229690Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking AlgorithmNicu Bizon0Phatiphat Thounthong1Damien Guilbert2Faculty of Electronics, Communication and Computers, University of Pitesti, 110040 Pitesti, RomaniaRenewable Energy Research Centre (RERC), Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, ThailandGroupe de Recherche en Energie Electrique de Nancy (GREEN), Université de Lorraine, GREEN, F-54000 Nancy, FranceIn this paper, four fuel economy strategies using power tracking control of the fuel cell boost converter and fuel cell optimization through the control of the fueling regulators were analyzed. The performance and safe operation in conditions of load disturbances and variations of renewable energy were considered. A benchmark strategy was used as a well-known strategy, which was based on the static feed-forward control of the fueling regulators. One of the four strategies is new and was based on switching the optimization reference to air and fuel regulators based on a threshold of the required power from the fuel cell system. The advantages of using the power tracking control and the optimization based on two variables instead of one are highlighted in sizing the battery capacity and its lifetime, and obtaining fuel economy respectively. The percentages of fuel economy for the analyzed strategies compared to the reference strategy are between 2.83% and 4.36%, and between 7.69% and 12.94%, in the case of a dynamic load cycle with an average of 5 kW and 2.5 kW, respectively.https://www.mdpi.com/2071-1050/12/22/9690hybrid power systemnano-gridfuel cellfuel economypower trackingoptimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nicu Bizon Phatiphat Thounthong Damien Guilbert |
spellingShingle |
Nicu Bizon Phatiphat Thounthong Damien Guilbert Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm Sustainability hybrid power system nano-grid fuel cell fuel economy power tracking optimization |
author_facet |
Nicu Bizon Phatiphat Thounthong Damien Guilbert |
author_sort |
Nicu Bizon |
title |
Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm |
title_short |
Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm |
title_full |
Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm |
title_fullStr |
Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm |
title_full_unstemmed |
Efficient Operation of the Hybrid Power System Using an Optimal Fueling Strategy and Control of the Fuel Cell Power Based on the Required Power Tracking Algorithm |
title_sort |
efficient operation of the hybrid power system using an optimal fueling strategy and control of the fuel cell power based on the required power tracking algorithm |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-11-01 |
description |
In this paper, four fuel economy strategies using power tracking control of the fuel cell boost converter and fuel cell optimization through the control of the fueling regulators were analyzed. The performance and safe operation in conditions of load disturbances and variations of renewable energy were considered. A benchmark strategy was used as a well-known strategy, which was based on the static feed-forward control of the fueling regulators. One of the four strategies is new and was based on switching the optimization reference to air and fuel regulators based on a threshold of the required power from the fuel cell system. The advantages of using the power tracking control and the optimization based on two variables instead of one are highlighted in sizing the battery capacity and its lifetime, and obtaining fuel economy respectively. The percentages of fuel economy for the analyzed strategies compared to the reference strategy are between 2.83% and 4.36%, and between 7.69% and 12.94%, in the case of a dynamic load cycle with an average of 5 kW and 2.5 kW, respectively. |
topic |
hybrid power system nano-grid fuel cell fuel economy power tracking optimization |
url |
https://www.mdpi.com/2071-1050/12/22/9690 |
work_keys_str_mv |
AT nicubizon efficientoperationofthehybridpowersystemusinganoptimalfuelingstrategyandcontrolofthefuelcellpowerbasedontherequiredpowertrackingalgorithm AT phatiphatthounthong efficientoperationofthehybridpowersystemusinganoptimalfuelingstrategyandcontrolofthefuelcellpowerbasedontherequiredpowertrackingalgorithm AT damienguilbert efficientoperationofthehybridpowersystemusinganoptimalfuelingstrategyandcontrolofthefuelcellpowerbasedontherequiredpowertrackingalgorithm |
_version_ |
1724450786104049664 |