考虑5G基站储能参与配电网供电恢复研究  

Distribution Network Restoration Supply Method Considers 5G Base Station Energy Storage Participation

作　　者：王晓卫 康乾坤 梁振锋[1] 郭亮 张帆[1] Wang Xiaowei;Kang Qiankun;Liang Zhenfeng;Guo Liang;Zhang Fan(School of Electrical Engineering,Xi’an University of Technology,Xi’an,710048,China;Institute of Electric Power Research of Jiangxi Electric Power Company,Nanchang,330000,China)

机构地区：[1]西安理工大学电气工程学院,西安710048 [2]国网江西省电力有限公司电力科学研究院,南昌330000

出　　处：《电工技术学报》2024年第11期3538-3555,共18页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(52177114,61403127);国网江西省电力有限公司科技项目(521820210005,521820220016)资助。

摘　　要：5G的快速发展使得5G基站储能容量大幅增加,如何充分发挥时常处于休眠状态的基站储能资源,使其参与配电网供电恢复,降低配电网失电量问题亟待研究。该文通过协调基站储能参与配电网供电恢复,以发挥其储能价值。首先,建立风光联合出力场景集,通过赤池信息准则和平方欧式距离确定各时段最优Copula函数,进而对其进行抽样聚类,获得风光典型出力场景集;然后,建立基站备用储能模型,通过正弦函数叠加建立不同区域的通信量模型,利用泰尔熵和修正基尼系数建立综合脆弱度模型确定各基站储能备用时间及备用储能模型,进而获得不同基站储能的可调度容量;最后,以失负荷量损失最小为目标,建立考虑基站储能参与及风光出力波动的含可调参数的两阶段鲁棒优化模型。以改进的IEEE 33节点模型为例进行仿真验证,分别对比了定基站备用时间与该文所提方法确定备用时间、鲁棒优化与确定性优化等方案下系统失负荷量的变化情况。仿真结果表明,5G基站储能可降低失负荷量损失成本,提高风光消纳率。China has vigorously promoted the development of 5G communication in recent years.The number of 5G base stations is growing rapidly,greatly demanding energy storage capacity.At present,China's power supply reliability has improved.Base stations'energy storage is often in a dormant state,thus causing a large amount of energy storage resource waste.It is urgent to study how to use the base station's energy storage resources and play its energy storage value.This paper proposed a 5G base stations'energy storage scheduling model,which jointly participates in the power supply restoration of the distribution network by combining wind-solar output,thus reducing the power loss load of the distribution network.Firstly,the wind-solar combined output scenario set is established.The optimal Copula function in each period is determined by the Akaike information criterion and squared Euclidian distance,obtained the typical wind-solar output scenario set by sampling and clustering.Second,a backup energy storage model for 5G base stations is established.Different regions communication traffic volume models are established through sine function superposition.The synthetic vulnerability model is established by using the Theil's entropy and the modified Gini coefficient to determine the backup time and the backup storage model of each base station energy storage.Then the schedulable capacity of different base stations'energy storage is obtained.Finally,a two-stage robust optimization model considering the synergistic scheduling of base stations'energy storage and wind-solar output is established with the objective of minimizing the loss of load volume.Simulations are performed with the improved IEEE 33 node model.The results indicate that the reserve capacity of 5G base station'energy storage is directly proportional to the node vulnerability of the power grid and inversely proportional to the load level.Compared with the traditional fixed backup time,this paper's method can increase the base stations'callable capacity by 317 kW·h

关 键 词：5G基站 备用储能 供电恢复 修正基尼系数 

分 类 号：TM732[电气工程—电力系统及自动化]