Grid-connected active power response strategy of energy storage VSG based on active power fractional differential correction

被引:0
作者
Shi R. [1 ,2 ,3 ]
Yang G. [1 ]
Wang G. [1 ]
Lan C. [1 ]
Huang J. [2 ]
Wang B. [3 ]
机构
[1] College of Mechanical and Control Engineering, Guilin University of Technology, Guilin
[2] Guangxi Special Equipment Inspection and Research Institute, Nanning
[3] School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 02期
关键词
active power fractional differential correction; energy storage; grid-connected active power; parameter design; response performance; small-signal model; virtual synchronous generator;
D O I
10.16081/j.epae.202303013
中图分类号
学科分类号
摘要
In order to solve the problem that the grid-connected active power of energy storage virtual synchronous generator(VSG) is difficult to take into account the good dynamic characteristics and steady-state performance under the disturbances of active power command and power grid frequency,a grid-connected active power response optimization control strategy of active power fractional differential correction-based VSG(AFDC-VSG) is proposed. The grid-connected active power closed-loop small-signal models of typical VSG and AFDC-VSG control strategies are established respectively,and the corresponding parameter design processes are given. MATLAB/Simulink simulation software is used to compare and analyze the grid-connected active power response characteristics of energy storage VSG by using different control strategies under two types of disturbance,and the experimental platform of energy storage VSG grid-connected system is established. Simulative and experimental results jointly verify the effectiveness and superiority of the proposed AFDC-VSG strategy in optimizing the grid-connected active power response performance for energy storage VSG. © 2024 Electric Power Automation Equipment Press. All rights reserved.
引用
收藏
页码:204 / 210
页数:6
相关论文
共 21 条
  • [1] PENG Guangbo, XIANG Yue, CHEN Wenxule, Et al., Kinetic deduction and analysis of installed capacity and investment development for wind power in power system under “dual carbon” target[J], Electric Power Automation Equipment, 42, 11, pp. 70-77, (2022)
  • [2] SHI Rongliang, ZHANG Lieping, YU Yannan, Et al., Virtual inertia control strategy of energy storage converter based on improved embedded SOGI-FLL[J], Electric Power Automation Equipment, 41, 2, pp. 118-123, (2021)
  • [3] LIAO Y, CHONG K T,, Et al., MPC-controlled virtual synchronous generator to enhance frequency and voltage dynamic performance in islanded microgrids[J], IEEE Transactions on Smart Grid, 12, 2, pp. 953-964, (2021)
  • [4] FANG J Y, LIN P F,, LI H C,, Et al., An improved virtual inertia control for three-phase voltage source converters connected to a weak grid[J], IEEE Transactions on Power Electronics, 34, 9, pp. 8660-8670, (2019)
  • [5] ZHAO Y,, Et al., Stability assessment and damping optimization control of multiple grid-connected virtual synchronous generators[J], IEEE Transactions on Energy Conversion, 36, 4, pp. 3555-3567, (2021)
  • [6] An improved virtual inertia algorithm of virtual synchronous generator[J], Journal of Modern Power Systems and Clean Energy, 8, 2, pp. 377-386, (2019)
  • [7] Power system stabilization using virtual synchronous generator with alternating moment of inertia[J], IEEE Journal of Emerging and Selected Topics in Power Electronics, 3, 2, pp. 451-458, (2015)
  • [8] THOMAS V, KUMARAVEL S, ASHOK S., Fuzzy controller-based self-adaptive virtual synchronous machine for microgrid application[J], IEEE Transactions on Energy Conversion, 36, 3, pp. 2427-2437, (2021)
  • [9] LIN S F,, Et al., A self-adaptive inertia and damping combination control of VSG to support frequency stability[J], IEEE Transactions on Energy Conversion, 32, 1, pp. 397-398, (2017)
  • [10] Self-tuning virtual synchronous generator control for improving frequency stability in autonomous photovoltaic-diesel microgrids[J], Journal of Modern Power Systems and Clean Energy, 6, 3, pp. 482-494, (2018)