基于自适应均衡技术的分布式储能聚合模型及评估方法

An Aggregation Model and Evaluation Method of Distributed Energy Storage Based on Adaptive Equalization Technology

针对分布式储能广域分布、资源分散、无法高效聚合等问题,提出一种基于自适应均衡技术的分布式储能聚合模型及评估方法.首先,建立基于储能容量、功率、荷电状态等动态特性参数的自适应均衡函数模型.然后,在自适应均衡函数模型基础上,建立以储能功率调节度、自适应均衡度和容量贡献度3种聚合度动态参数为决策的储能聚合模型.通过算例仿真,验证了该模型可实现各储能单体以更小的体内差异性、更高的体间聚合度完成储能单体到储能聚合体的聚合,可实际应用于大规模参与辅助服务的分布式储能的聚合,实现储能资源的高效利用.

Aimed at the problems of wide area distribution, resource dispersion, and inefficient aggregation of distributed energy storage, this paper proposes an aggregation model and evaluation method of distributed energy storage based on the adaptive equalization technology. First, this paper establishes an adaptive equalization function model based on dynamic characteristic parameters such as energy storage capacity, power, and state of charge. Then, based on the adaptive equalization function model, it establishes the aggregation model and evaluation method of distributed energy storage, which takes the power regulation rate, adaptive equalization rate, and capacity contribution rate as the dynamic parameters of aggregation degree. The example simulation verifies that the model can realize the fact that each energy storage unit can complete the aggregation from energy storage unit to energy storage aggregate with a smaller internal difference and a higher external aggregation rate. It can be applied to a large number of distributed energy storage aggregation participating in grid auxiliary services, and realize the efficient utilization of energy storage resources.