Collaborative planning of cyber physical distribution system considering the flexibility of data centers

被引:3
|
作者
Wu, Shutan [1 ]
Wang, Qi [1 ]
Chen, Bin [2 ]
机构
[1] Southeast Univ, Nanjing 210000, Peoples R China
[2] State Grid Changzhou Elect Power Co, Changzhou 213000, Jiangsu, Peoples R China
关键词
Cyber-physical distribution network (CPDS); Distributed resources; Data centers; Spatial-temporal migration; Collaborative planning;
D O I
10.1016/j.egyr.2023.04.146
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the development of energy transition and smart grid, the traditional distribution network has transformed into a cyber-physical distribution network (CPDS), which is multidimensional and heterogeneous. The increasingly abundant cyber and physical resources and deep coupling characteristics provide new challenges for distribution network planning. Based on a distribution network with multiple distributed resources and data centers, this paper proposes a cyber-physical collaborative planning method for a distribution network. First, according to the overall architecture of CPDS and the cross-layer control manner, the multiple distributed resources model and spatial-temporal migration model of data loads are established. Then, taking the minimal annual cost of distributed resources as the objective function, the collaborative planning of energy storage systems (ESSs) and corresponding smart terminal units (STUs), spatial-temporal migration strategy of data load, and communication network topology is carried out. Finally, the economics and feasibility of the proposed planning scheme are verified by the modified IEEE-33 bus distribution system. The results show that the collaborative planning method proposed in this paper can reduce the investment cost of distribution network planning and solve the voltage variation problem to a certain extent, so as to improve the economy and operational reliability of distribution network, and provide theoretical guidance for planners. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:656 / 664
页数:9
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