Optimal Power Scheduling Strategy in Residential Distribution Network Based on Multi-dimensional Network Integration

With the introduction and rapid development of the Fifth Generation (5G) wireless network, the power consumption of communication in the residential distribution network increases greatly and becomes a nonnegligible part. Additionally, as an environmentally friendly new energy, Electric Vehicles (EVs) are wildly used in the daily life of residents, and it is also schedulable with charging and discharging strategies to smoothen the daily load curve of the residential distribution network. In this paper, the communication power consumption is modeled into the static part and the dynamic part. The residential load, communication load, and EV load in the residential distribution network are considered and an integrated load model is built. Based on the multi-dimensional network integration, a two-stage day-ahead optimal power scheduling strategy of EV charging and discharging is developed, in which the first stage is aiming at minimizing the power cost of the community and the second stage is further to reduce the peak load. The simulation results of a real community in Shanghai City shows the applicability and effectiveness of the proposed model. It not only saves the power cost but also reduces the peak load and peak-valley difference and improves the comprehensive utilization of load.