On the Self-Scheduling of Cellular Base Station-Based Virtual Power Plants

被引:0
|
作者
Yong, Pei [1 ]
Yang, Zhifang [1 ]
Zhang, Ning [2 ]
Kang, Chongqing [2 ]
机构
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment Technol, Chongqing 400044, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 14期
关键词
Power systems; Cooling; Base stations; Scheduling; Reliability; Power system reliability; Internet of Things; Cellular base station (CBS); cooling demand; energy storage; scheduling; virtual power plant (VPP); ENERGY; OPTIMIZATION; STRATEGY; MODEL;
D O I
10.1109/JIOT.2024.3382353
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Constructing virtual power plants (VPPs) based on cellular base stations (CBSs) can effectively enable the CBSs to participate in power system operations. Then, like VPPs constructed by other distributed resources, it is essential for CBS-based VPPs to conduct self-scheduling at the day-ahead stage. However, the operational flexibility of CBS-based VPPs has yet to be systematically investigated, so the dispatch potential cannot be fully explored. This article proposes a self-scheduling framework based on the device-level modeling of CBS operational flexibility. Both the DC part and the AC part of CBSs are systematically studied. In the scheduling framework, the backup storage units at the DC part are arranged to utilize the spare capacity to conduct temporal arbitrage while guaranteeing the power supply reliability requirement; the cooling infrastructures at the AC part are dispatched with optimized schemes with temperature prerequisites. The synergy effect improves the scheduling of CBS-based VPPs and reduces operation costs. Case studies validate the proposed framework.
引用
收藏
页码:24511 / 24522
页数:12
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