An Economical Scheduling Strategy of Battery-Equipped Data Server with Dynamic-Pricing Power Supply in Smart Grid
Shan Jin Yu, Hui Jin, Xiao Bin Tan, Kang Qi Wang · Advanced materials research · 2013
The electricity consumption by modern data center and data servers has significantly increased in recent year and continues to have this dramatic increase trend. Meanwhile, more and more modern power grids have adopted dynamic pricing electricity supply model. When a data center or data server is equipped with temporary power storage devices such as a battery, it is feasible and important to study how to schedule power supply to reduce the overall power consumption cost. In this paper, we present a dynamic programming based scheduling strategy by considering the stochastic arrival nature of network load and characteristic of battery storage. We demonstrate the effectiveness of our approach using simulation based on real power price data and real-life network load data.