首页|Distributed Stochastic Scheduling of Massive Backup Batteries in Cellular Networks for Operational Reserve and Frequency Support Ancillary Services
Distributed Stochastic Scheduling of Massive Backup Batteries in Cellular Networks for Operational Reserve and Frequency Support Ancillary Services
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
万方数据
Base station(BS)backup batteries(BSBBs),with their dispatchable capacity,are potential demand-side resources for future power systems.To enhance the power supply reliabili-ty and post-contingency frequency security of power systems,we propose a two-stage stochastic unit commitment(UC)model incorporating operational reserve and post-contingency frequen-cy support provisions from massive BSBBs in cellular networks,in which the minimum backup energy demand is considered to ensure BS power supply reliability.The energy,operational re-serve,and frequency support ancillary services are co-opti-mized to handle the power balance and post-contingency fre-quency security in both forecasted and stochastic variable re-newable energy(VRE)scenarios.Furthermore,we propose a dedicated and scalable distributed optimization framework to enable autonomous optimizations for both dispatching center(DC)and BSBBs.The BS model parameters are stored and pro-cessed locally,while only the values of BS decision variables are required to upload to DC under the proposed distributed opti-mization framework,which safeguards BS privacy effectively.Case studies on a modified IEEE 14-bus system demonstrate the effectiveness of the proposed method in promoting VRE ac-commodation,ensuring post-contingency frequency security,en-hancing operational economics,and fully utilizing BSBBs'ener-gy and power capacity.Besides,the proposed distributed optimi-zation framework has been validated to converge to a feasible solution with near-optimal performance within limited itera-tions.Additionally,numerical results on the Guangdong 500 kV provincial power system in China verify the scalability and practicality of the proposed distributed optimization framework.
Base stationbackup batteryoperational re-servefrequency securitydistributed optimizationprivacy
Kun Li、Jiakun Fang、Xiaomeng Ai、Shichang Cui、Rongkang Zhao、Jinyu Wen
展开 >
State Key Laboratory of Advanced Electromagnetic Engineering and Tech-nology,School of Electrical and Electronic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China