Abstract
Due to the intermittent and uncontrollable nature of wind resources and inflexible operation of conventional generation units, they present challenges for the power system to integrate more wind power. With its unique flexibility on the demand side, the data center can be considered as an effective solution to relieve wind curtailment. Moreover, with the help of waste heat recovery module, the data center can reduce the utilization of conventional thermal units especially in the residential heating sector which increases the flexibility of system operation and facilitates more renewable integration. In this paper, a flexible workload management and resource scheduling model are proposed to achieve a multi-energy co-optimization for data center and enhance the integration of wind power. A two-stage stochastic programming model is formulated to address the uncertainties involved in this process. The proposed model is examined by a simulative data center microgrid and the numerical results demonstrate its effectiveness and robustness.
Highlights
The wind harvesting techniques have been developed greatly, it still presents significant challenges to integrate more wind power into power grid due to its intermittent and uncontrollable nature
One of the reasons for wind power curtailment is the mismatch between enormous wind power generation and limited energy demand caused by transmission congestion [3], [4]
Another reason for wind power curtailment is the inflexibility of the power system operation during residential heating seasons, which have contributed more than 90% of wind power curtailment in Northeast China [5]
Summary
The wind harvesting techniques have been developed greatly, it still presents significant challenges to integrate more wind power into power grid due to its intermittent and uncontrollable nature. To the best of our knowledge, even though numbers of research works have been done on power management of data centers for cost saving, environmental footprint reduction and energy efficiency improvement, limited literature has considered the heat and power co-optimization potentials within a data center microgrid, especially on the perspective of facilitating wind power integration. With the help of the waste heat recovery (WHR) module, data center microgrid can reduce the requirement of heating supply from conventional CHP units, which increases the flexibility of the power system operation and capability of integrating more wind power Both economic and environmental benefit can be achieved by optimally scheduling multi-energy resources in the data center microgrid. The flexible IT workload allocation decisions are co-optimized with other resource scheduling decisions to minimize the operation cost of data center microgrid and enhance wind power integration.
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