1.Key Laboratory of Smart Grid, Ministry of Education, Tianjin University, Tianjin 300072, China;2.Georgia Tech Shenzhen College, Tianjin University, Shenzhen 518055, China

Current research on 5G base stations as flexible resources to participate in power grid interaction mostly focuses on the utilization of energy storage resources of 5G base station, ignoring the regulatory potential of 5G base station communication load. Therefore, a day-ahead interactive operation method for distribution network operator (DNO) and mobile network operator (MNO) based on interstation migration of communication load is proposed. Firstly, a DNO-MNO dual-layer interactive operation optimization model is constructed. In this model, DNO is an incentive strategy that comprehensively considers the system network loss cost and the incentive cost of the 5G base station, and takes the system N-1 safe operation criterion as a constraint and aims at the the lowest total system operating cost. MNO comprehensively considers the power consumption cost of the 5G base station and the grid demand response benefits, and develops the 5G base station power operation plan with the goal of the lowest net operating cost of the 5G base station. Secondly, to solve the problem that the lower MNO 5G base station scheduling model has non-convex and nonlinear constraints which are difficult to solve analytically, an algorithm based on feasible domain iteration is proposed to solve the model accurately. Thirdly, the algorithm of DNO embedded MNO dual-layer interactive model based on elite genetic algorithm is proposed. Finally, a numerical example is given to verify the effectiveness and practicability of the proposed method.This work is supportedFoundation by the State Key Laboratory of Power System Operation and Control (No. SKLD23KM15) and Basic and Applied Basic Research Foundation of Guangdong Province (No. 2022A1515110896).