Energy storage capacity configuration strategy based on partitioned inertia estimation of power system

被引：1
|
作者：
Mi Y. [1 ]
Wang P. [1 ]
Zhou J. [1 ]
Ma S. [1 ]
Li D. [1 ]
机构：
[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 07期
基金：
中国国家自然科学基金; 上海市自然科学基金;
关键词：
difference method; energy storage capacity configuration strategy; inertia estimation; spectral clustering; system partitioning;
D O I：
10.16081/j.epae.202405015
中图分类号：
学科分类号：
摘要：
An energy storage capacity configuration strategy based on partitioned inertia estimation is proposed to address the decrease in inertia level of power system caused by large-scale renewable energy integration. Based on the analysis of inertia machanism in traditional power system，an equivalent inertia model and a virtual inertia model for wind power and energy storage are established for power system with renewable energy. The spectral clustering is used to partition the power system to solve the problem that the uneven spatial distribution of inertia affects the estimation accuracy，and the measurement nodes are determined based on Pearson correlation coefficient. The difference method is used to estimate the inertia of each region of the partitioned system，and the energy storage capacity configuration strategy of the power system is designed based on the results of the partition inertia estimation. The simulation of IEEE 10-machine 39-bus model with wind power is built in DIgSLIENT／PowerFactory for verification. The simulative results show that the proposed method can reduce inertia estimation error，and the energy storage capacity can be reasonably configured based on the inertia estimation results to ensure fast frequency regulation and provide virtual inertia support for the energy storage system. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：13 / 20
页数：7
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