Life prediction method for VSG energy storage unit

被引：0
作者：
Zhang, Bo [1 ]
Zhang, Xiaolei [1 ]
Yan, Xiangwu [1 ]
Han, Jinzuo [1 ]
机构：
[1] North China Elect Power Univ, Dept Elect Engn, Baoding, Peoples R China
来源：
2019 IEEE 10TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG 2019) | 2019年
关键词：
Virtual Synchronous Generator; Energy storage; life prediction; State of charge;
D O I：
10.1109/pedg.2019.8807495
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
VSG (Virtual Synchronous Generator) technology is an effective mean to cope with the reduction of grid inertia. As the provider of virtual inertia, the energy storage unit is a significant part of the VSG, and its service life exerts decisive impact on the design and construction of the VSG. This paper presents a method which can estimate the lifetime of a VSG energy storage unit. And the main point of the method is to predict the SOC (State of charge) change of the energy storage unit utilizing the grid frequency fluctuation data and VSG parameters. In the third section of the article, the method is illustrated by a case and a simulation experiment is used to verify its correctness.
引用
收藏
页码：390 / 394
页数：5
相关论文
共 50 条
  • [31] A Memetic Computing Approach for Unit Commitment with Energy Storage Systems
    Salvini, Coriolano
    Monacchia, Stefano
    [J]. 3RD INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENT RESEARCH, ICEER 2016, 2017, 107 : 377 - 382
  • [32] An electromechanical energy-storage unit based on an asynchronized compensator
    Dovganyuk I.Y.
    Mnev R.D.
    Sokur P.V.
    Tuzov P.Y.
    [J]. Russian Electrical Engineering, 1600, Allerton Press Incorporation (85): : 53 - 58
  • [33] Potential Failure Prediction of Lithium-ion Battery Energy Storage System by Isolation Density Method
    Zhu, Yong
    Liu, Mingyi
    Wang, Lin
    Wang, Jianxing
    [J]. SUSTAINABILITY, 2022, 14 (12)
  • [34] New Conceptual Design and Modeling of an Energy Storage and Recovery Unit
    Kezibri, Nouaamane
    Bouallou, Chakib
    [J]. PROCEEDINGS OF 2016 INTERNATIONAL RENEWABLE & SUSTAINABLE ENERGY CONFERENCE (IRSEC' 16), 2016, : 911 - 914
  • [35] Modeling Arbitrage of an Energy Storage Unit Without Binary Variables
    Shen, Ziqi
    Wei, Wei
    Wu, Danman
    Ding, Tao
    Mei, Shengwei
    [J]. CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (01): : 156 - 161
  • [36] New energy vehicle lithium battery life prediction method based on improved deep learning
    An, Zhiwen
    [J]. INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2022, 89 (1-2) : 69 - 83
  • [37] Grid-connected control strategy of modular multilevel converter-battery energy storage system based on VSG
    Zhang, Dan
    Jiang, JianGuo
    Zhang, Liang
    Zhou, ZhongZheng
    [J]. JOURNAL OF ENGINEERING-JOE, 2019, (16): : 1502 - 1505
  • [38] A United Control Strategy of Photovoltaic-Battery Energy Storage System Based on Voltage-Frequency Controlled VSG
    Yan, Xiangwu
    Wang, Chenguang
    Wang, Ziheng
    Ma, Hongbin
    Liang, Baixue
    Wei, Xiaoxue
    [J]. ELECTRONICS, 2021, 10 (17)
  • [39] Microgrid Control Strategy Based on Battery Energy Storage System-Virtual Synchronous Generator (BESS-VSG)
    Gao, Wei
    [J]. 2020 IEEE KANSAS POWER AND ENERGY CONFERENCE (KPEC), 2020,
  • [40] Study on the optimization method of energy storage configuration for new energy
    Xu, Zhenzhong
    Liu, Bo
    [J]. 2016 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION (CICED), 2016,
12345