A shared energy storage business model for data center clusters considering renewable energy uncertainties

被引：46

作者：

Han, Ouzhu ^{[1
]}

Ding, Tao ^{[1
]}

Zhang, Xiaosheng ^{[1
]}

Mu, Chenggang ^{[1
]}

He, Xinran ^{[1
]}

Zhang, Hongji ^{[1
]}

Jia, Wenhao ^{[1
]}

Ma, Zhoujun ^{[2
]}

机构：

[1] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China

[2] State Grid Jiangsu Elect Power Co Ltd, Nanjing Power Supply Branch, Nanjing 210019, Peoples R China

来源：

RENEWABLE ENERGY | 2023年 / 202卷

关键词：

Shared energy storage business model; Data center cluster; Renewable energy uncertainty; Chance -constrained goal programming; AIR-CONDITIONING SYSTEM; DEMAND RESPONSE; OPERATION; STRATEGY; PARTICIPATION;

D O I：

10.1016/j.renene.2022.12.013

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The energy consumption of data centers (DCs) is on a sharp upward trend in recent years. DCs are playing an increasingly important role in demand response (DR) programs. However, the reassignment of computing tasks among DCs leads to different energy demands of different DCs. Given that the investment cost of energy storage is high, this work proposes a shared energy storage business model for the DC cluster (DCC) to improve economic benefits and promote renewable energy accommodation. Besides, an internal energy balance mechanism is set up to make full use of the complementary energy consumption characteristics of different DCs. Considering the renewable energy uncertainty, an optimization model is proposed based on the chance-constrained goal pro-gramming (CCGP). Finally, simulation results prove that the proposed energy storage business model has a positive effect on improving the economic benefits of the DCC. It also proves that for a DCC adopting the pro-posed internal energy balance mechanism, its total renting power can be effectively reduced and renewable energy consumption can be greatly promoted.

引用

页码：1273 / 1290

页数：18

共 46 条

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[Anonymous], 2021, PJM DATA VIEWER

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