Research on Scheduling Strategy of Data Centers Participating in Peak-regulating Ancillary Service Market

Abstract

As a large power consumer, data centers (DCs) can achieve the ability of power transfer between multiple electricity markets, which makes it an effective demand side resource for peak regulating. In this paper, proper scheduling strategies of Data centers under various operating scenarios when data center operators have data centers distributed across multiple electricity markets are discussed and the data center energy consumption model and a peaking potential model are built. With the goal of maximizing the income of peak shaving of the DCs and the peak shaving effect of power system, a scheduling model of the data center participating in the Ancillary service market is established. The example shows that the proposed scheduling model is feasible and effective.