TY - JOUR
T1 - Estimation-Based Online Adaptive Management of Distribution Feeder Congestion Using Electrolysis Hydrogen Refueling Stations
AU - Al-Obaidi, Abdullah Azhar
AU - Farag, Hany Essa Zidan
AU - El-Saadany, Ehab F.
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2024/5/1
Y1 - 2024/5/1
N2 - The utilization of hydrogen-powered vehicles as an alternative to fossil-fueled ones has been identified as a promising solution to reduce greenhouse gas emissions. To promote the deployment of hydrogen-powered vehicles, however, it is imperative that hydrogen refueling stations with on-site electricity-produced hydrogen (eHRSs) are economically utilized for concurrent services. Therefore, this article proposes a new estimation-based method for the optimal scheduling of eHRS for the provision of congestion management services to the distribution system. The method allows for real-time adaptive management of the congestion level in the feeder as decided by the distribution system operator. A new correlation-based method is proposed for online estimation of the amount of congestion and determination of the eHRSs setpoints to relieve congestion on the distribution feeders. This article also develops a congestion management pricing mechanism for the compensation of eHRSs that serve the distribution grid. Numerical results indicate how distribution feeder congestion can be adaptively managed, while the financial profile of the eHRSs is improved via joint application and provision of concurrent services to the transportation sector and grid operator.
AB - The utilization of hydrogen-powered vehicles as an alternative to fossil-fueled ones has been identified as a promising solution to reduce greenhouse gas emissions. To promote the deployment of hydrogen-powered vehicles, however, it is imperative that hydrogen refueling stations with on-site electricity-produced hydrogen (eHRSs) are economically utilized for concurrent services. Therefore, this article proposes a new estimation-based method for the optimal scheduling of eHRS for the provision of congestion management services to the distribution system. The method allows for real-time adaptive management of the congestion level in the feeder as decided by the distribution system operator. A new correlation-based method is proposed for online estimation of the amount of congestion and determination of the eHRSs setpoints to relieve congestion on the distribution feeders. This article also develops a congestion management pricing mechanism for the compensation of eHRSs that serve the distribution grid. Numerical results indicate how distribution feeder congestion can be adaptively managed, while the financial profile of the eHRSs is improved via joint application and provision of concurrent services to the transportation sector and grid operator.
KW - Adaptive congestion management
KW - distribution feeders
KW - hydrogen-refueling stations
KW - optimal scheduling
UR - http://www.scopus.com/inward/record.url?scp=85185371194&partnerID=8YFLogxK
U2 - 10.1109/TII.2024.3360985
DO - 10.1109/TII.2024.3360985
M3 - Article
AN - SCOPUS:85185371194
SN - 1551-3203
VL - 20
SP - 7459
EP - 7470
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 5
ER -