What is a distributed collaborative optimization approach for 5G base stations?

In this paper, a distributed collaborative optimization approach is proposed for power distribution and communication networks with 5G base stations. Firstly, the model of 5G base stations considering communication load demand migration and energy storage dynamic backup is established.

Does a high proportion of distributed PV reduce power reverse?

Compared with the basic scenario, the amount of electricity sold by DSO to the upper grid during the peak output of PV is reduced, which shows that the coordination of the distribution network and communication network alleviates the problem of power reverse caused by a high proportion of distributed PV. Fig. 13.

What are the parameters of BS Energy Storage?

The channel bandwidth B allocated by the user is 1 MHz, the upper limit of the BS's traffic processing capacity L max is 10 4 Mbps, and the traffic demand L j of a single user is 100 Mbps. The detailed parameters of the BS energy storage are shown in Table 1. ω is taken as small as 0.14 Yuan/kWh to encourage energy storage participation.

Is ADMM based distributed algorithm a good choice for a 5G base station?

An improved ADMM-based distributed algorithm is designed for the coordinated optimal operation of two networks. The e ffectiveness of the proposed model and algorithm w as validated in the case study . 5G base stations have experienced rapid growth, making their demand response capability non-negligible.