Hierarchical Communication Network for Electric Vehicles Aggregation and Control
Xin Wu, Yawen Yu, Yi Liu, Lin Liu, Xiang Li · IEEE Transactions on Vehicular Technology · 2024
The hierarchical aggregation and control of electric vehicles (EVs) is an effective way to promote the consumption of clean energy and ensure the balance of power demand-supply. In the case of increasingly insufficient wireless resources of cellular networks, one challenging problem is how to guarantee the real-time and accurate service interaction requirements of massive services in EV aggregation response. In this paper, in order to support the communication process of EV hierarchical aggregation and control, a hierarchical communication network architecture of “Central cloud- Regional cloud- Edge unit- EVs” is proposed. Considering the differences of service processing functions and communication demands of each layer, the utility function models are constructed to describe the different demands on the timeliness and accuracy. And based on the utility functions, a network communication resource allocation model is established to allocate power and channel resources on demand. Finally, to reduce the amount of computation, this paper proposes the joint allocation algorithm of power and channel resources based on the improved water-filling algorithm, adaptive particle swarm optimization algorithm and two-sided matching theory. The simulation experiment results illustrate that the total utility of the proposed algorithm is increased by 0.43 times on average compared with the channel average allocation (H-A), and 0.08 times compared with the layer-by-layer optimization (H-NJO).