Emission-aware stochastic resource planning scheme for data center microgrid considering batch workload scheduling and risk management

Zhaohao Ding, Liye Xie, Ying Lu, Peng Wang, S. Xia
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引用次数: 34

Abstract

Internet data centers are booming in the last few years, leading to gigantic amount of energy consumption and greenhouse gas emission. In this paper, a data center microgrid including conventional units, energy storage, and renewable generation is modeled to optimize its electricity bill and carbon footprint. Considering the randomness of electricity price, renewable output and workload distribution, the volatility risk is incorporated to measure the associated operation risk. Then a day-ahead emission-aware stochastic resource planning scheme is formulated to decide the strategy on power procurement, energy storage operation, batch workload allocation and unit commitment of conventional units. Simulation results show the effectiveness of the proposed approach.
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考虑批量工作负载调度和风险管理的数据中心微电网随机资源规划方案
互联网数据中心在过去几年蓬勃发展,导致了巨大的能源消耗和温室气体排放。本文建立了一个数据中心微电网模型,包括常规单元、储能和可再生能源发电,以优化其电费和碳足迹。考虑电价、可再生能源发电量和负荷分布的随机性,引入波动率风险来度量相关的运行风险。在此基础上,制定了日前排放感知随机资源规划方案,确定了常规机组的购电策略、储能运行策略、批量负荷分配策略和机组承诺策略。仿真结果表明了该方法的有效性。
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