Virtual synchronous generator control strategy based on model predictive control

被引：0
|
作者：
Yang X. [1 ]
Li H. [1 ]
Jin H. [1 ]
Wu Y. [1 ]
机构：
[1] School of Automatic Engineering, Shanghai University of Electric Power, Shanghai
来源：
Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2022年 / 43卷 / 11期
关键词：
Control strategy; Distributed power generation; Inverters; Model predictive control; Virtual synchronous generator;
D O I：
10.19912/j.0254-0096.tynxb.2021-0486
中图分类号：
学科分类号：
摘要：
In order to improve the inertia and promote the restoration of the power grid, a virtual synchronous generator model predictive control(MPC-VSG) strategy based on the LCL grid-connected inverter is proposed. This method introduces the virtual synchronous generator(VSG) into the model predictive control(MPC) to control the reference value of the output current inner loop, so that the reference value of the inner loop current can change with the grid voltage and frequency. The simulation model is established with Matlab and compared with the MPC control method. The simulation results show that as the inverter output power changes, the VSG model predictive control can increase the inertia and stability of the power grid, improve system transient process. © 2022, Solar Energy Periodical Office Co., Ltd. All right reserved.
引用
收藏
页码：508 / 514
页数：6
相关论文
共 15 条
  • [1] GUO K, TANG Y, FANG J Y., Exploration of the relationship between inertia enhancement and DC-Link capacitance for Grid-Connected converters, 2018 IEEE 4th Southern Power Electronics Conference, (2018)
  • [2] LI X L, GUO L, HUANG D, Et al., Research review on operation and control of DC distribution network, High voltage engineering, 45, 10, pp. 3039-3049, (2019)
  • [3] WANG C S, GUO L., Key technologies and applications of DC power distribution system, Electricity supply, 35, 1, pp. 1-6, (2018)
  • [4] ZHANG X, TAN L, XIAN J H, Et al., Predictive current control algorithm for grid-connected inverter with LCL filter, Transactions of China Electrotechnical Society, 34, pp. 189-201, (2019)
  • [5] LIU Z F, DU G P, DU F D., Research status and development trend of finite set model predictive control in power electronic systems, Transactions of China Electrotechnical Society, 32, 22, pp. 58-69, (2017)
  • [6] CAO X D, TAN G J, WANG C G, Et al., Research on multi-model predictive control strategy of three-level PWM rectifier, Transactions of China Electrotechnical Society, 29, 8, pp. 142-150, (2014)
  • [7] LIANG Y Y, ZHANG T, LIU J Z, Et al., The application of model predictive control for MMC-HVDC, Transactions of China Electrotechnical Society, 31, 1, pp. 128-138, (2016)
  • [8] ZHOU R C, WU Z H, JIANG C Y., Predictive control of APF base on modular multilevel converters, Power electronics technology, 54, 8, pp. 112-115, (2020)
  • [9] YAO X L, HUANG C Q, WANG J F, Et al., Model predictive power control of permanent magnet synchronous motor in two-phase static coordinate system, Transactions of China Electrotechnical Society, 36, 1, pp. 60-67, (2021)
  • [10] XIAO Z M, CHEN Q H, ZHANG L Y., Research on constraint model predictive control for bidirectional DC-DC converters of electric vehicles, Transactions of China Electrotechnical Society, 33, pp. 489-498, (2018)
12