Optimized scheduling method and device for 5G macro site group, medium and terminal equipment

Abstract

The invention discloses an optimized scheduling method and device for a 5G macro site group, a medium and terminal equipment. The method comprises the following steps: building a power scheduling model according to the output prediction value of a photovoltaic system, the charging and discharging preset power of an energy storage system, the load power consumption prediction values of all the 5G macro sites and a scene set; solving the power scheduling model through combination with solving constraint conditions containing user communication quality constraints to obtain a 5G macro site group energy storage charging and discharging adjustment value of a prediction day; and adjusting the charging and discharging power of the energy storage system of the 5G macro site group on the prediction day according to the energy storage charging and discharging adjustment value. By adopting the optimized scheduling method and device for the 5G macro site group, the medium and the terminal equipment provided by embodiments of the invention, the accurate prediction of the communication load of each base station can be realized; and then the 5G macro site group is scheduled by taking energy storage charging and discharging power as an optimization variable and combining the predicted communication load and photovoltaic output of each 5G macro site.

Description

technical field [0001] The present invention relates to the field of optimal scheduling of energy storage base stations, in particular to a method, device, medium and terminal equipment for optimal scheduling of 5G macro base station groups. Background technique [0002] At present, in view of the double increase of base station operating costs, existing research mainly focuses on the optimal configuration of energy storage capacity and energy storage scheduling. In the research on the optimal configuration of the capacity of the existing 5G base station micro-grid optical storage system, aiming at the lowest total cost of the 5G base station micro-grid within the entire life cycle, optimize the energy storage charging and discharging power, and optimize the capacity configuration of the 5G base station micro-grid optical storage system , provides an idea to solve the problem of high cost of 5G base stations, but lacks the utilization of energy storage and controllable resou...

AI Technical Summary

Problems solved by technology

These random characteristics lead to a large number of random variables in the objective function of the scheduling decision of the base station. The traditional deterministic scheduling method cannot obtain a feasible solution because the constraint conditions containing random variables cannot be satisfied in the process of making the optimal scheduling decision. A small probability event occurs under extreme circumstances

Therefore, the traditional deterministic scheduling method is not suitable for joint scheduling of base station optical storage

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