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Electrolyzers Enhancing Flexibility in Electric Grids

Journal Article · · Energies
DOI:https://doi.org/10.3390/en10111836· OSTI ID:1408884
This paper presents a real-time simulation with hardware-in-the-loop (HIL) based approach for verifying the performance of electrolyzer systems in providing grid support. Hydrogen refueling stations premdominantly use electrolyzer systems to generate hydrogen, and are proposed to have the potential of becoming smarter loads which can pro-actively provide grid services. Based on experimental findings electrolyzer systems are observed to have a high level of controllability and hence can add flexibility to the grid from demand side. Greater awareness and controllability is proposed, developed, implemented, and tested by a 'frond end controller' in real-time environment. It can optimize the operation of electrolyzer systems based on the information collected by a communication module. Real-time tests are performed to verify the performance of front end controller driven electrolyzers to provide grid support that enables greater economic revenue and grid support for hydrogen producers under dynamic conditions. The front end controller proposed in this paper is tested with electrolyzers, however it is proposed as a generic control topology that is applicable to any load.
Research Organization:
Idaho National Laboratory (INL), Idaho Falls, ID (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Hydrogen and Fuel Cell Technologies Program (EE-3F)
Grant/Contract Number:
AC07-05ID14517; AC36-08GO28308
OSTI ID:
1408884
Alternate ID(s):
OSTI ID: 1415122
Report Number(s):
INL/JOU--17-43313; NREL/JA--5400-70720; PII: en10111836
Journal Information:
Energies, Journal Name: Energies Journal Issue: 11 Vol. 10; ISSN 1996-1073; ISSN ENERGA
Publisher:
MDPI AGCopyright Statement
Country of Publication:
United States
Language:
English

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Dynamic Emulation of a PEM Electrolyzer by Time Constant Based Exponential Model journal February 2019