5G and energy internet planning for power and communication network
Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic
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.
The traditional configuration method of a base station battery comprehensively considers the importance of the 5G base station, reliability of mains, geographical location, long-term development, battery life, and other factors .
Afterward, a collaborative optimal operation model of power distribution and communication networks is designed to fully explore the operation flexibility of 5G base stations, and then an improved distributed algorithm based on the ADMM is developed to achieve the collaborative optimization equilibrium.
In the optimal configuration of energy storage in 5G base stations, long-term planning and short-term operation of the energy storage are interconnected. Therefore, a two-layer optimization model was established to optimize the comprehensive benefits of energy storage planning and operation.
2) The optimized configuration results of the three types of energy storage batteries showed that since the current tiered-use of lithium batteries for communication base station backup power was not sufficiently mature, a brand- new lithium battery with a longer cycle life and lighter weight was more suitable for the 5G base station.
To maximize overall benefits for the investors and operators of base station energy storage, we proposed a bi-level optimization model for the operation of the energy storage, and the planning of 5G base stations considering the sleep mechanism.

Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic
A bi-level optimization framework of capacity planning and operation costs of shared energy storage system and large-scale integrated 5G base stations is proposed to
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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
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With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent
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The optimized configuration results of the three types of energy storage batteries showed that since the current tiered-use of lithium batteries for communication base station
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