A Fast Solution Approach for Path Optimization in Software-Defined Energy Internet
Yuting Li, Jiang Wu, Jiaxin Li, Yuzhou Zhou, Feng Gao · 2023
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.