Optimized scheduling method for participation of large-scale 5G base station in demand response of power distribution network

Abstract

The invention relates to an optimized scheduling method for participation of a large-scale 5G base station in demand response of a power distribution network, and belongs to the technical field of optimized scheduling of power distribution networks. The method is applied to auxiliary power grid demand side management; peak clipping service is provided for a power grid in a large-time-scale load peak period by utilizing schedulable energy resources of the energy storage of the large-scale 5G base station; and energy flow of the large-scale 5G base station in an energy sharing mode is optimized in a small-time scale by taking reduction of the energy consumption cost of the base station as a target. According to the method, the large-scale base station is encouraged to participate in the large-time-scale demand response of the intelligent power distribution network through the design of an optimal contract; in the demand response process, energy flows of an internal layer and an interaction layer of the large-scale base station are optimized from the perspective of the small time scale; and therefore, the energy consumption cost of the base station is effectively reduced, and the stability of energy storage output of the base station is improved.

Description

technical field [0001] The invention relates to an optimal scheduling method for large-scale 5G base stations to participate in distribution network demand response, and belongs to the technical field of distribution network optimal scheduling. Background technique [0002] At present, the explosive growth of mobile data services and the rapid popularization of smart devices have accelerated the development and deployment of fifth-generation (5G) communication systems. However, while large-scale 5G base stations ensure network coverage and high communication service quality, communication operators face high energy costs. It is estimated that the number of 5G base stations will exceed 13.1 million in 2025, and the overall power consumption will reach 200 billion kW. h. Therefore, the high power consumption of 5G base stations has become the primary factor restricting the deployment of ultra-dense networks in the 5G era, and will also have an impact on the stable operation o...

AI Technical Summary

Problems solved by technology

[0004] Despite the above advantages, large-scale 5G base stations still face the following challenges in participating in demand response due to the characteristics of large-scale 5G base stations that are widely distributed, small in size, and have large load fluctuations: First, the distribution of large-scale 5G base stations Integrated photovoltaic and energy storage increase the difficulty of energy management of the communication system, making it difficult for the smart grid to directly coordinate dispatch of large-scale base stations

Second, there is a lack of an effective incentive mechanism for demand response

5G base stations can only participate in demand response under the premise of ensuring uninterrupted power supply requirements. However, the power supply requirements of base stations with different temporal and spatial distributions vary greatly, and the evaluation of base station dispatchable capacity is more complicated. In addition, 5G base stations participating in demand response will increase the cost of energy storage operation and maintenance, resulting in The base station lacks enthusiasm for participation

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