Risk-based Two-stage Optimal Scheduling of Energy Storage System with Second-life Battery Units  

作　　者：Yongxi Zhang Jiahua Zhu Yan Xu Renjun Zhou Zhao Yang Dong 

机构地区：[1]School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410114,China [2]School of Electrical&Electronic Engineering,Nanyang Technological University,Singapore [3]The University of Sydney,Sydney 2052,Australia

出　　处：《CSEE Journal of Power and Energy Systems》2023年第2期529-538,共10页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported in part by the National Natural Science Foundation of China (NO.52278003 and NO.72171026);in part by the National Natural Science Foundation of Hunan province (NO.21A0217)。

摘　　要：With the growing adoption of Electrical Vehicles(EVs),it is expected that a large number of on-board Li-ion batteries will be retired from EVs in the near future.Retired batteries will typically retain 80%of their initial capacities and can be recycled as second life batteries(SLBs).Although the capital costs of SLBs are much cheaper,their operational reliability is an important concern since used batteries may suffer from a higher failure rate.This paper aggregates brand new batteries and SLBs together to improve power system’s operating performance with renewable energy resources.In the context of a day-ahead and intra-day dispatch framework,a two-stage coordinated optimal scheduling method is proposed.Specifically,the energy cost of brand-new batteries and SLBs is calculated based on detailed battery degradation model,and the reliability of batteries is modeled based on the Weibull distribution.Moreover,Conditional value at risk(CVaR)criterion is applied to evaluate the risk induced by intermittent renewable power output,load demand variation and SLBs failure probability.Simulation tests demonstrate the effectiveness of the proposed method.

关 键 词：Conditional value at risk reliability second life batteries 

分 类 号：F416.61[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程] TM73[自动化与计算机技术—控制科学与工程] TM91[电气工程—电力系统及自动化]