Power distribution and virtual inertia control of photovoltaic and hybrid energy storage system based on VSG

被引：0
|
作者：
Li Y. [1 ]
Li Y. [1 ]
Li S. [1 ]
Shao Z. [1 ]
Chen X. [1 ]
机构：
[1] Key Laboratory of Smart Grid, Ministry of Education, Tianjin University, Tianjin
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 07期
关键词：
hybrid energy storage system; photovoltaic; power distribution; self-adaptive control; virtual inertia; virtual synchronous generator;
D O I：
10.16081/j.epae.202212003
中图分类号：
学科分类号：
摘要：
In the virtual synchronous generator （VSG） control-based photovoltaic and hybrid energy storage systems，there are coordination problems among different types of energy storage，and their state of charge （SOC） is also closely related to the control strategy of VSG. To solve this problem，a coordinated control strategy of photovoltaic and hybrid energy storage system based on VSG is proposed. A hybrid energy storage system is integrated into the DC side of the inverter and its power is distributed based on the control principle of VSG. According to the quantitative relationship between the energy storage SOC and the VSG virtual inertia，an improved virtual inertia self-adaptive control strategy is designed and the selection principles of relevant parameters are given. The energy storage SOC can be controlled while improving the dynamic response of the system output frequency and power. MATLAB/Simulink simulative results show that the proposed control strategy can effectively improve the stability of system voltage and frequency，achieve the rational power distribution among hybrid energy storage，improve the charging and discharging performance of energy storage and extend its life. © 2023 Electric Power Automation Equipment Press. All rights reserved.
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页码：27 / 34
页数：7
相关论文
共 21 条
  • [1] YADAV R., Future of photovoltaic technologies：a comprehensive review［J］, Sustainable Energy Technologies and Assessments, 47, (2021)
  • [2] CHEN Wei, AI Xin, WU Tao, Et al., Influence of grid-connected photovoltaic system on power network［J］, Electric Power Automation Equipment, 33, 2, pp. 26-32, (2013)
  • [3] WEN Yunfeng, YANG Weifeng, LIN Xiaohuang, Review and prospect of frequency stability analysis and control of low-inertia power systems［J］, Electric Power Automation Equipment, 40, 9, pp. 211-222, (2020)
  • [4] WANG H F., Power system small-signal angular stability affected by virtual synchronous generators［J］, IEEE Transactions on Power Systems, 34, 4, pp. 3209-3219, (2019)
  • [5] JIN Mingxin, WANG Tong, HUANG Shilou, Et al., Adaptive coordinated damping control strategy for grid-connected direct-driven wind turbine system with energy storage-based virtual synchronous generators［J］, Electric Power Automation Equipment, 41, 10, pp. 170-177, (2021)
  • [6] CHEN Houhe, DU Huanhuan, ZHANG Rufeng, Et al., Optimal capacity configuration and operation strategy of hybrid energy storage considering uncertainty of wind power［J］, Electric Power Automation Equipment, 38, 8, pp. 174-182, (2018)
  • [7] WANG L, WANG Y J，, LIU C，, Et al., A power distribution strategy for hybrid energy storage system using adaptive model predictive control ［J］, IEEE Transactions on Power Electronics, 35, 6, pp. 5897-5906, (2020)
  • [8] ZHAO Wei, Xiong LI, QIAO Renfei, Et al., VSG control strategy of an isolated microgrid based on hybrid energy storage［J］, Power System Protection and Control, 49, 12, pp. 33-40, (2021)
  • [9] WANG F, ZHANG L J，, FENG X Y，, Et al., An adaptive control strategy for virtual synchronous generator［J］, IEEE Transactions on Industry Applications, 54, 5, pp. 5124-5133, (2018)
  • [10] ZOU Peigen, MENG Jianhui, WANG Yi, Et al., Influence analysis of the main control parameters in FVSG on the frequency stability of the system［J］, High Voltage Engineering, 44, 4, pp. 1335-1342, (2018)
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