PDF(3670 KB)
Optimal Dispatch and Demand Response Strategies of Data Centers for Promoting Accommodation of Renewable Energy Generation and Reducing Carbon Emission
LAN Zhou, JIANG Chenwei, GU Jiting, WEN Fushuan, YANG Kan, WANG Kun
Electric Power Construction ›› 2022, Vol. 43 ›› Issue (4) : 1-9.
PDF(3670 KB)
PDF(3670 KB)
Optimal Dispatch and Demand Response Strategies of Data Centers for Promoting Accommodation of Renewable Energy Generation and Reducing Carbon Emission
A data center represents an important flexible resource on the user side. Through reasonable scheduling and motivating demand response, the capability of the data center to accommodate the power generation from distributed renewable energy sources (RESs) can be effectively improved, which is conducive for achieving the specified “dual carbon” target in China. In this paper, the optimal dispatch and demand response strategies for a data center are addressed to promote the accommodation of the power generation from RESs. Firstly, considering the load characteristics of the data center, a conventional data center operation model including the power demand profile and quality of service (QoS) is established. Then, according to the schedulable characteristics of delay-tolerant workloads, a renewable energy subsidy mechanism is proposed for the data center to motivate the shift of the user data service demand to the peak power generation period of RESs. Then, on the basis of the green certificate (GC) mechanism, with the objective of minimizing the operating cost of the data center and maximizing environmental benefits, an optimal dispatch model of the data center is presented. Finally, a typical data center is employed to demonstrate the feasibility and efficiency of the presented method. Simulation results show that the presented method can effectively explore the demand response potential of the data center and its users, enhance the accommodation capability for power generation from RESs, and hence reduce carbon emission.
data center / optimal dispatch / demand response / accommodation of renewable energy generation
| [1] |
韩肖清, 李廷钧, 张东霞, 等. 双碳目标下的新型电力系统规划新问题及关键技术[J]. 高电压技术, 2021, 47(9):3036-3046.
|
| [2] |
曾博, 徐富强, 刘裕, 等. 考虑可再生能源与需求响应协同增效的能量枢纽多目标区间优化规划方法[J]. 中国电机工程学报, 2021, 41(21):7212-7225.
|
| [3] |
唐程辉, 张凡, 张宁, 等. 考虑可再生能源随机性和需求响应的电力系统日前经济调度[J]. 电力系统自动化, 2019, 43(15):18-25, 63.
|
| [4] |
杨谦, 刘继春, 蒋万枭. 光伏不同渗透率下考虑源网荷储深度互动的电力系统调峰策略[J]. 电力建设, 2021, 42(9):74-84.
|
| [5] |
|
| [6] |
桑丙玉, 王德顺, 杨波, 等. 基于经济性的互联网数据中心光-储协同优化配置[J]. 电力系统保护与控制, 2020, 48(17):131-138.
|
| [7] |
CIE. Green data center white paper[R]. Beijing: CIE, 2019.
|
| [8] |
|
| [9] |
吴刚, 高赐威, 陈宋宋, 等. 考虑需求响应的数据中心用电负荷优化研究综述[J]. 电网技术, 2018, 42(11):3782-3788.
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
杨挺, 李洋, 盆海波, 等. 基于需求侧响应的数据中心联络线功率控制方法[J]. 中国电机工程学报, 2017, 37(19):5529-5540.
|
| [15] |
郭嘉, 杨洪明, 张鹏兴, 等. 面向需求响应的数据中心供能系统优化调度[J]. 电力科学与技术学报, 2018, 33(2):43-49.
|
| [16] |
|
| [17] |
|
| [18] |
王彩霞, 时智勇, 梁志峰, 等. 新能源为主体电力系统的需求侧资源利用关键技术及展望[J]. 电力系统自动化, 2021, 45(16):37-48.
|
| [19] |
|
| [20] |
冯成, 王毅, 陈启鑫, 等. 能源互联网下的数据中心能量管理综述[J]. 电力自动化设备, 2020, 40(7):1-9.
|
| [21] |
|
/
| 〈 |
|
〉 |