详细信息
Reliability Evaluation Method for Distribution Network with Data Center Load Based on Two-Stage Optimization Model ( EI收录)
文献类型:期刊文献
英文题名:Reliability Evaluation Method for Distribution Network with Data Center Load Based on Two-Stage Optimization Model
作者:Fan, Junqiu Zhao, Qingming Tang, Wenyong
第一作者:Fan, Junqiu
机构:[1] Guizhou Power Grid Co., Ltd., Guizhou Province Key Laboratory of New-type Power System Operation and Control, Guiyang, China; [2] Guizhou Institute of Technology, Guiyang, China
第一机构:Guizhou Power Grid Co., Ltd., Guizhou Province Key Laboratory of New-type Power System Operation and Control, Guiyang, China
年份:2025
起止页码:118-126
外文期刊名:2025 4th International Conference on Smart Grids and Energy Systems, SGES 2025
收录:EI(收录号:20254119312363)
语种:英文
外文关键词:Data centers - Data communication systems - Data reliability - Electric load distribution - Electric power distribution - Energy utilization - Green computing - Mixed-integer linear programming - Power distribution networks - Power distribution reliability - Reliability
摘要:With the booming development of data centers worldwide, data centers not only bring high energy consumption, but also flexible and adjustable demand response resources. In order to fully consider the impact of flexible scheduling of computing power loads in data centers on the reliability indicators of distribution networks, this paper establishes a distribution network reliability evaluation algorithm based on a two-stage optimization model on the basis of a simplified energy consumption model in data centers. This algorithm combines linear programming model and mixed integer programming (MILP) model to evaluate the reliability indicators of distribution networks with data center loads. Finally, through simulation of the improved 37 node distribution network, the results show that the flexible load transfer characteristics of the data center effectively improve the power supply reliability of the distribution network, especially suitable for distribution network systems with limited transfer capacity. ?2025 IEEE.
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