Research on Optimal Configuration Method of Hybrid Energy Storage Capacity Based on SE-improved SGMD

LIU Yutong; ZHAO Lin; WANG Xintai

doi:10.13296/j.1001-1609.hva.2024.10.008

您当前的位置：

首页 >

文章列表页 >

Research on Optimal Configuration Method of Hybrid Energy Storage Capacity Based on SE-improved SGMD

The Key Technologies for Energy Conservation and Carbon Reduction in New Power Systems | 更新时间：2025-04-26

- Research on Optimal Configuration Method of Hybrid Energy Storage Capacity Based on SE-improved SGMD
- High Voltage Apparatus Vol. 60, Issue 10, Pages: 78-85(2024)
- 作者机构：
  
  1.国网辽宁省电力有限公司经济技术研究院，沈阳　 110015
  2.东北电力大学电气工程学院，吉林　吉林　 132012
- 作者简介：
- 基金信息：
  
  Management Technology Project of State Grid Liaoning Electric Power Co., Ltd.(2023YF-69)
- DOI：10.13296/j.1001-1609.hva.2024.10.008
  CLC：
- Received：05 May 2024，
  
  Revised：10 July 2024，
  
  Published：16 October 2024
- 稿件说明：
移动端阅览
LIU Yutong, ZHAO Lin, WANG Xintai. Research on Optimal Configuration Method of Hybrid Energy Storage Capacity Based on SE-improved SGMD[J]. High voltage apparatus, 2024, 60(10): 78-85.
DOI：

LIU Yutong, ZHAO Lin, WANG Xintai. Research on Optimal Configuration Method of Hybrid Energy Storage Capacity Based on SE-improved SGMD[J]. High voltage apparatus, 2024, 60(10): 78-85. DOI： 10.13296/j.1001-1609.hva.2024.10.008.

摘要

采用混合储能系统平抑风电输出功率波动可有效解决风电并网问题，而不同功率分配方法对混合储能优化配置结果影响大，为此提出一种基于样本熵改进的辛几何模态分解方法（sample entropy-improved symplectic geometric mode decomposition，SE-improved SGMD）的混合储能系统功率分配策略。首先，采用SGMD对不平衡功率进行分解，获取一系列辛几何分量

SGC

（symplectic geometry component）；然后，计算分解后各

SGC

的样本熵

（sample entropy）并获取其相似度阈值，以此为依据将分解后的子分量重构高、低频分量，分别作为超级电容和全钒液流电池的参考功率；进而，通过计及储能设备

SOC

限幅约束和充放电效率约束对两种储能设备的额定功率和容量进行配置；最后，结合中国某风电场实测输出数据，构建基于全寿命周期成本的经济性评估模型，验证文中方法的有效性与实用性。

Abstract

Using hybrid energy storage system to smooth out the output power of wind power can effectively solve the problem of wind power connection to the power grid

whereas different power allocation methods have great influence on the optimal configuration of hybrid energy storage. Therefore

a power allocation strategy of hybrid energy storage system based on sample entropy-improved symplectic geometric mode decomposition (SE-improved SGMD) is proposed. Firstly

SGMD is used to decompose the unbalance power so to obtain the Symplectic Geometry Component (

SGC

). Then

the sample entropy (

) of each

SGC

after decomposition is calculated and its similarity threshold is obtained. Based on this

the decomposed sub-components are reconstructed into high and low frequency components

which are used as the reference power of super capacitor and vanadium redox flow battery respectively. Furthermore

the rated power and capacity of the two energy storage devices are configured by taking into account

the

SOC

limit constraints and charge-discharge efficiency constraints of the energy storage devices. Finally

combined with the measured output data of a domestic wind farm

an economic assessment model based on life cycle cost is constructed to verify the effectiveness and practicability of the method proposed in this paper.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on the Characteristics and Denoising of Low-Current Fault Arc Sound Signals Based on GSWOA-VMD-SE

Sizing and Cost Analysis of Hybrid Energy Storage System for Compensating Wind Power Forecast Errors

Life Cycle Cost Assessment of High Voltage Circuit Breaker Based on System Dynamics Approach

Related Author

LIU Kai

WEI Haojie

WU Tian

WANG Ming

YANG Ying

CHEN Kai

CHEN Kebin

QIU Xiaoyan

Related Institution

China Electric Power Research Institute

College of Electrical Engineering & New Energy, China Three Gorges University

State Grid Hubei Power Transmission and Transformation Engineering Co., Ltd.

School of Electrical Engineering and Information,Sichuan University,Intelligent Electric Power Grid Key Laboratory of Sichuan Province

School of Electrical Engineering, Xinjiang University

⁰