TY - JOUR
T1 - Energy Management for a Port Integrated Energy System Based on Distributed Dual Decomposition Mixed Integer Linear Programming
AU - Teng, Fei
AU - Zhang, Qing
AU - Xiao, Geyang
AU - Ban, Zixiao
AU - Liang, Yuan
AU - Guan, Yajuan
N1 - Funding Information:
This work was supported by the National Key Research and Development Project of China (Grant No. 2022YFB2901400), the National Natural Science Foundation of China (Grants No. U22A2005, 52201407, and 62203403), the High-Level Talents Innovation Support Plan of Dalian (Young Science and Technology Star Project) (Grant No. 2021RQ058), the Zhejiang Lab Open Research Project (Grant No. K2022QA0AB03), the Fundamental Research Funds for the Central Universities (Grant No. 3132023103), and the Key Research Project of Zhejiang Lab (Grant No. 2021LE0AC02).
Publisher Copyright:
© 2023 by the authors.
PY - 2023/6
Y1 - 2023/6
N2 - This paper proposes a distributed energy management strategy, based on dual decomposition mixed integer linear programming for port integrated energy systems (PIESs), to improve the utilization of renewable energy, and to foster green ports. Firstly, due to the distributed characteristics presented by various heterogeneous devices, a polymorphic network-based PIES was established, instead of the traditional single IP protocol, incorporating electricity replacement and energy conversion devices. Secondly, taking into account the coupling of various energy flows, an energy management model was constructed, to ensure reliable operation for the PIES. Thirdly, an energy management strategy based on distributed dual decomposition mixed integer linear programming for the PIES was proposed, which took into account the distributed characteristic of the PIES. Finally, the effectiveness of the proposed strategy was demonstrated, by simulation cases in different scenarios for the PIES. The obtained energy management results were similar to the centralized algorithm.
AB - This paper proposes a distributed energy management strategy, based on dual decomposition mixed integer linear programming for port integrated energy systems (PIESs), to improve the utilization of renewable energy, and to foster green ports. Firstly, due to the distributed characteristics presented by various heterogeneous devices, a polymorphic network-based PIES was established, instead of the traditional single IP protocol, incorporating electricity replacement and energy conversion devices. Secondly, taking into account the coupling of various energy flows, an energy management model was constructed, to ensure reliable operation for the PIES. Thirdly, an energy management strategy based on distributed dual decomposition mixed integer linear programming for the PIES was proposed, which took into account the distributed characteristic of the PIES. Finally, the effectiveness of the proposed strategy was demonstrated, by simulation cases in different scenarios for the PIES. The obtained energy management results were similar to the centralized algorithm.
KW - distributed energy management
KW - mixed integer linear programming
KW - polymorphic network
KW - port integrated energy system (PIES)
UR - http://www.scopus.com/inward/record.url?scp=85164128602&partnerID=8YFLogxK
U2 - 10.3390/jmse11061137
DO - 10.3390/jmse11061137
M3 - Journal article
AN - SCOPUS:85164128602
SN - 2077-1312
VL - 11
JO - Journal of Marine Science and Engineering
JF - Journal of Marine Science and Engineering
IS - 6
M1 - 1137
ER -