Emission-Aware Stochastic Resource Planning Scheme for Data Center Microgrid Considering Batch Workload Scheduling and Risk Management

被引：87

作者：

Ding, Zhaohao ^{[1
]}

Xie, Liye ^{[1
]}

Lu, Ying ^{[1
]}

Wang, Peng ^{[1
]}

Xia, Shiwei ^{[1
]}

机构：

[1] North China Elect Power Univ, Beijing 102206, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2018年 / 54卷 / 06期

基金：

北京市自然科学基金;

关键词：

Carbon emission; data center; risk management; stochastic optimization; INTERNET DATA CENTERS; ENERGY; OPERATION;

D O I：

10.1109/TIA.2018.2851516

中图分类号：

T [工业技术];

学科分类号：

120111 [工业工程];

摘要：

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.

引用

页码：5599 / 5608

页数：10

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