Optimization method of distributed hybrid energy storage based on distribution network partition

被引：0

作者：

Liu H. ^{[1
,2
]}

Xu L. ^{[1
]}

Hao S. ^{[1
,2
]}

Zhang X. ^{[1
,2
]}

Zhang C. ^{[1
]}

机构：

[1] School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing

[2] Jiangsu Collaborative Innovation Center for Smart Distribution Network, Nanjing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2020年 / 40卷 / 05期

基金：

中国国家自然科学基金;

关键词：

AP clustering algorithm; Capacity configuration; Discretization model; Distributed hybrid energy storage; Distribution network; Hilbert-Huang transform; Partition;

D O I：

10.16081/j.epae.202004009

中图分类号：

学科分类号：

摘要：

In order to improve the absorption capacity of distribution network to DGs(Distributed Generations) with different output characteristics and realize the optimal operation of distribution network with mul-tiple DGs and large loads involving different output characteristics, an optimization method of distributed hybrid energy storage based on distribution network partition is proposed. Considering the probabilistic charac-teristics of multiple DGs and large loads, the discretization models of DGs and large loads are obtained by using K-means algorithm, and the electrical distance matrix of distribution network after discretization is calculated to obtain the similar matrix of distribution network partition. The distribution network is divided into multiple partitions according to the similarity between nodes by using the AP(Attractor Propagation) clustering algorithm, and then the clustering center nodes for installing the hybrid energy storage system are determined. Considering the charging/discharging efficiency and state-of-charge of energy storage system, the capacity configuration of the hybrid energy storage system is carried out. The unbalanced power of each partition is decomposed into high frequency component and low frequency component by Hilbert-Huang transform, which are respectively used as the reference power of capacity configuration for power-type and energy-type energy storage, so as to determine the optimal configuration scheme. The example results show that the proposed optimization method can effectively improve the utilization efficiency of energy storage and the economy of configuration scheme. © 2020, Electric Power Automation Equipment Press. All right reserved.

引用

页码：137 / 143

页数：6

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