Optimization strategy of base station energy consumption based on predictive control

Abstract

This article focuses on the optimized operation of communication base stations, especially the effective utilization of energy storage batteries. Currently, base station energy storage batteries are often idle and do not participate in power supply, resulting in resource waste and battery life issues. Therefore, this paper uses the charge and discharge control of energy storage batteries, combined with wind and solar resources and time-of-use electricity prices, to achieve "peak shaving and valley filling" of base station load power and significantly reduce operating costs. The article proposes an optimal dispatch model from two stages: day-ahead and intra-day. By calculating the base station load and wind and solar forecast, the day-ahead economic operation strategy is derived, and the intra-day dispatch plan is continuously adjusted according to the actual situation. Through numerical example analysis, the effectiveness of the method proposed in this article is verified.