基于时间序列关联聚类的储能电池典型工况曲线提炼

针对储能电池真实运行工况开展评价和检测标准研究已受到业界关注,但尚未形成工况曲线的权威性分析结果。文中基于储能电池典型应用场景中的运行曲线,在未考虑时间序列关联分析工况中特征因子及不同置信度下静态配置值的基础上,提出一种基于时间序列关联分析并结合聚类法的典型工况提炼方法,分析储能电池在工况运行中出力的周期性变化规律、工作模式及其交互顺序与频次,描述电池荷电状态的运行轨迹,提炼出可实时动态控制与评估储能电池出力及能量存储状态的工况特征曲线。以储能跟踪某一风电场风电计划出力的应用工况为例,仿真验证了该方法的有效性和可行性。

Extraction of Typical Duty Cycle Curves of Energy Storage Battery Based on Time-series Correlation and Clustering Method

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.