Residue supply capability assessment of distribution network with time series dimension reduction considering dynamic characteristic of load and energy storage

被引：0
作者：
Liu Z. [1 ]
Zhao J. [1 ]
Guan M. [2 ]
Wang X. [1 ]
Wu G. [2 ,3 ]
Wu G. [2 ,3 ]
机构：
[1] School of Electric Power Engineering, Shanghai Electric Power University, Shanghai
[2] Huzhou Power Supply Company of Start Grid Zhejiang Electric Power Company Limited, Huzhou
[3] Zhejiang Talent Electric Group Company Limited, Huzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Energy storage system; Load clustering; Multi-working point time section safety boundary; Residue supply capability; Time series dimension reduction;
D O I：
10.16081/j.epae.202110020
中图分类号：
学科分类号：
摘要：
Along with continuous increasing penetration rate of energy storage and distributed energy, it is urgent to consider the dynamic characteristics of energy storage regulation and distributed energy in residue supply capability assessment, for which, a residue supply capability assessment method with time series dimension reduction analysis considering dynamic characteristic of load and energy storage is proposed. The fuzzy C-means clustering technology is adopted to build a dynamic time series clustering model of load, and the dynamic characteristics of energy storage is modeled and analyzed. By defining the dimension reduction extraction method of working point time section, the two-dimensional dynamic distribution network with time series characteristic of load and energy storage is transformed into a one-dimensional static residue supply capability assessment problem with load status expressed by load set at peak time of clustering center load. A safety boundary with residue supply capability of multi-working point time section is built based on current model of residue supply capability assessment, further the residue supply capability of distribution network is accurately calculated, meanwhile the impact of load difference of new-added users is considered and corrected by residue supply capability coefficient. Case analysis verifies the feasibility and effectiveness of the proposed method. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：220 / 226
页数：6
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