TY - JOUR
T1 - Transactive energy framework for optimal energy management of multi-carrier energy hubs under local electrical, thermal, and cooling market constraints
AU - Khorasany, Mohsen
AU - Najafi-Ghalelou, Afshin
AU - Razzaghi, Reza
AU - Mohammadi-Ivatloo, Behnam
PY - 2021/7
Y1 - 2021/7
N2 - The interactions among the multi-carrier energy systems provide the opportunity to achieve affordable and clean energy by using energy resources in a more efficient way. In this paper, a transactive energy (TE) framework for optimal energy management of multiple energy hubs (EHs) is proposed. Each EH is a multi-carrier energy system performing day-ahead energy management to schedule its electrical, thermal, and cooling demand profiles and manages its internal energy resources to reduce total energy expenses and the emission level of CO2. In the first step, each EH indicates the expected surplus/deficit electrical, thermal, and cooling energies, which need to be traded with either district or local markets. Then, in the next step, EHs participate in different markets to trade various forms of energy with each other and to improve their energy efficiency. In the local markets, EHs participate in the peer-to-peer (P2P) energy trading by offering their energy surplus/deficit to other EHs. Case studies demonstrate that the proposed framework reduces the reliance of EHs on the district markets, which in turn reduces EHs energy cost by 22%, and decreases emitted CO2 by 13%.
AB - The interactions among the multi-carrier energy systems provide the opportunity to achieve affordable and clean energy by using energy resources in a more efficient way. In this paper, a transactive energy (TE) framework for optimal energy management of multiple energy hubs (EHs) is proposed. Each EH is a multi-carrier energy system performing day-ahead energy management to schedule its electrical, thermal, and cooling demand profiles and manages its internal energy resources to reduce total energy expenses and the emission level of CO2. In the first step, each EH indicates the expected surplus/deficit electrical, thermal, and cooling energies, which need to be traded with either district or local markets. Then, in the next step, EHs participate in different markets to trade various forms of energy with each other and to improve their energy efficiency. In the local markets, EHs participate in the peer-to-peer (P2P) energy trading by offering their energy surplus/deficit to other EHs. Case studies demonstrate that the proposed framework reduces the reliance of EHs on the district markets, which in turn reduces EHs energy cost by 22%, and decreases emitted CO2 by 13%.
KW - Energy hub
KW - Local markets
KW - Optimal scheduling
KW - Peer-to-peer (P2P) trading
KW - Transactive energy
UR - http://www.scopus.com/inward/record.url?scp=85100390682&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2021.106803
DO - 10.1016/j.ijepes.2021.106803
M3 - Article
AN - SCOPUS:85100390682
SN - 0142-0615
VL - 129
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 106803
ER -