电力系统自动化2018，Vol.42Issue(9)：188-194,7.DOI:10.7500/AEPS20170905006
基于时间序列关联聚类的储能电池典型工况曲线提炼
Time-series Correlation and Clustering Method Extraction of Typical Duty Cycle Curves of Energy Storage Battery Based on
摘要
Abstract
Extensive concern has arisen on how to evaluate and test the actual working characteristics of energy storage battery, while no authoritative method gets established yet.Based on several duty cycle of battery under the typical application scenarios,this paper studies the eigenfactors and static configurations with different confidence coefficients while neglecting the time-series correlation.Then a method of extracting typical duty cycle curves of battery based on the time-series correlation analysis and the clustering method is proposed.The periodic variational regularity,operating modes,and mode exchanging orders and frequency of energy storage battery output when operating are analyzed,and the operation track of state of charge (SOC)of battery is described.The duty cycle curves,which can control and evaluate the energy storage battery output in the real-time and SOC of battery,are extracted.Finally,taken the application of a battery energy storage system tracking the planed wind power output of a certain wind farm as an example,the effectiveness and feasibility of the proposed method is verified.关键词
储能电池/工况曲线/时间序列关联/聚类法Key words
energy storage battery/duty cycle curve/time-series correlation/clustering method引用本文复制引用
杨水丽,侯朝勇,许守平,赵录兴,孙冰莹,陈继忠..基于时间序列关联聚类的储能电池典型工况曲线提炼[J].电力系统自动化,2018,42(9):188-194,7.基金项目
国家自然科学基金资助项目(51507160).This work is supported by National Natural Science Foundation of China(No.51507160). （51507160）
