TY - GEN
T1 - A Fast Solution Approach for Path Optimization in Software-Defined Energy Internet
AU - Li, Yuting
AU - Wu, Jiang
AU - Li, Jiaxin
AU - Zhou, Yuzhou
AU - Gao, Feng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the rapid development of the Energy Internet, its information subsystem has a large amount of data flow to be transmitted. Since the transmission of data flow requires a large expense to lease the operator network, a stable and economical communication method is critical to the operation of the Energy Internet system. Therefore, this paper proposes a data flow path optimization model for the software- defined energy Internet information subsystem to minimize communication costs while ensuring stable data flow transmission. The method proposed in this paper can be described as a mixed-integer nonlinear programming model. However, due to the inefficiency of commercial solvers for large-scale problems, this paper designs a fast solution approach (ASF) that can effectively improve the efficiency of solving large-scale problems. Numerical tests verify the effectiveness of the proposed algorithm in this paper.
AB - With the rapid development of the Energy Internet, its information subsystem has a large amount of data flow to be transmitted. Since the transmission of data flow requires a large expense to lease the operator network, a stable and economical communication method is critical to the operation of the Energy Internet system. Therefore, this paper proposes a data flow path optimization model for the software- defined energy Internet information subsystem to minimize communication costs while ensuring stable data flow transmission. The method proposed in this paper can be described as a mixed-integer nonlinear programming model. However, due to the inefficiency of commercial solvers for large-scale problems, this paper designs a fast solution approach (ASF) that can effectively improve the efficiency of solving large-scale problems. Numerical tests verify the effectiveness of the proposed algorithm in this paper.
KW - Energy Internet
KW - Software-defined network
KW - a fast solution approach
KW - mixed-integer nonlinear programming
KW - network cost minimization
UR - https://www.scopus.com/pages/publications/85181809142
U2 - 10.1109/CCDC58219.2023.10327380
DO - 10.1109/CCDC58219.2023.10327380
M3 - 会议稿件
AN - SCOPUS:85181809142
T3 - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
SP - 4476
EP - 4481
BT - Proceedings of the 35th Chinese Control and Decision Conference, CCDC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th Chinese Control and Decision Conference, CCDC 2023
Y2 - 20 May 2023 through 22 May 2023
ER -