Demand-Responsive Data Center Energy Supply Optimized Scheduling

With the rapid development of cloud computing in recent years, data centers have become the mainstay that can support large-scale virtual computing of computers. Therefore, reducing energy consumption and carbon emissions of data centers has attracted extensive attention from academia and industry. Reduce server power consumption according to data center energy consumption characteristics. Reducing CPU utilization in the server can be achieved by scheduling the workload, so the workload approach used in this article is to change the load completion time. In contains in the energy management of energy storage devices and photovoltaic power generation system, the time-sharing electricity environment, using the workload in the scheduling server scheduling factors, and increase the constraint conditions and intermediate variables, the minimum purchase electricity as the goal, the establishment and refrigeration equipment and mid-cooling power load data center under the management environment of collaborative optimization scheduling model, and USES the branch and bound method to solve. Through the example analysis, the basic data of typical days in four seasons are collected to get the optimization results of the whole year. According to the calculation, the electricity price of the data center in the whole year has been reduced by 361,570 yuan, and the cost has been reduced by about 0.58%. This model, through collaborative optimization of renewable energy and technical means, has increased the economic benefits of the data center and better fits the concept of "green data center".