Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation

Hydrogen Fuel Cell Electric Vehicles (FCEV) can help reduce carbon emissions, air pollution and dependency on fossil fuels in the transport sector. Clean hydrogen fuel can be generated by a power-to-gas process at refuelling stations equipped with water electrolysers, especially in renewable rich ar...

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Main Authors: Wei Sun, Gareth P. Harrison
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9490223/
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spelling doaj-b8863e5fa7ee4d5a889b996a502927042021-07-26T23:01:00ZengIEEEIEEE Access2169-35362021-01-01910168110169410.1109/ACCESS.2021.30981619490223Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable GenerationWei Sun0https://orcid.org/0000-0002-4180-3040Gareth P. Harrison1https://orcid.org/0000-0003-1697-630XSchool of Engineering, The University of Edinburgh, Edinburgh, U.K.School of Engineering, The University of Edinburgh, Edinburgh, U.K.Hydrogen Fuel Cell Electric Vehicles (FCEV) can help reduce carbon emissions, air pollution and dependency on fossil fuels in the transport sector. Clean hydrogen fuel can be generated by a power-to-gas process at refuelling stations equipped with water electrolysers, especially in renewable rich areas. Coupled with onsite hydrogen tanks, the fast response capability of electrolysis, could potentially turn the station demand into a flexible electricity load since the hydrogen can be stored and used when needed. This paper presents a novel real-time load management scheme that actively operates a hydrogen refuelling station to relieve thermal network constraints, handles the fluctuations from renewables, and releases network headroom for connecting renewable generation. The key components involved in the refuelling station and their operational characteristics are explicitly modelled in the analysis. The economic impact of the different operational strategies is also examined. In the case study, the effectiveness of the proposed control strategy to avoid overloading and save curtailment in the local distribution network is verified by running the real-time network simulation at 1 minute steps over a 1 hour window and 5 day window respectively. Moreover, a whole year simulation of the station operation shows that the proposed active control strategy enables wind farms in the local network to avoid 9.5 times more curtailment than under passive control strategy. The station’s net cost of electricity consumption thus can be reduced by 7.5%., by making use of excess electricity that would otherwise be curtailed. A further 5% reduction on the cost would be possible if the incentive rewards for offering network constraint management services are in place.https://ieeexplore.ieee.org/document/9490223/Power-to-gashydrogen vehicleflexible demandsactive network managementrenewable energymulti-energy integration
collection DOAJ
language English
format Article
sources DOAJ
author Wei Sun
Gareth P. Harrison
spellingShingle Wei Sun
Gareth P. Harrison
Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
IEEE Access
Power-to-gas
hydrogen vehicle
flexible demands
active network management
renewable energy
multi-energy integration
author_facet Wei Sun
Gareth P. Harrison
author_sort Wei Sun
title Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
title_short Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
title_full Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
title_fullStr Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
title_full_unstemmed Active Load Management of Hydrogen Refuelling Stations for Increasing the Grid Integration of Renewable Generation
title_sort active load management of hydrogen refuelling stations for increasing the grid integration of renewable generation
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description Hydrogen Fuel Cell Electric Vehicles (FCEV) can help reduce carbon emissions, air pollution and dependency on fossil fuels in the transport sector. Clean hydrogen fuel can be generated by a power-to-gas process at refuelling stations equipped with water electrolysers, especially in renewable rich areas. Coupled with onsite hydrogen tanks, the fast response capability of electrolysis, could potentially turn the station demand into a flexible electricity load since the hydrogen can be stored and used when needed. This paper presents a novel real-time load management scheme that actively operates a hydrogen refuelling station to relieve thermal network constraints, handles the fluctuations from renewables, and releases network headroom for connecting renewable generation. The key components involved in the refuelling station and their operational characteristics are explicitly modelled in the analysis. The economic impact of the different operational strategies is also examined. In the case study, the effectiveness of the proposed control strategy to avoid overloading and save curtailment in the local distribution network is verified by running the real-time network simulation at 1 minute steps over a 1 hour window and 5 day window respectively. Moreover, a whole year simulation of the station operation shows that the proposed active control strategy enables wind farms in the local network to avoid 9.5 times more curtailment than under passive control strategy. The station’s net cost of electricity consumption thus can be reduced by 7.5%., by making use of excess electricity that would otherwise be curtailed. A further 5% reduction on the cost would be possible if the incentive rewards for offering network constraint management services are in place.
topic Power-to-gas
hydrogen vehicle
flexible demands
active network management
renewable energy
multi-energy integration
url https://ieeexplore.ieee.org/document/9490223/
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