电网电压不平衡工况下MMC的降频模型预测控制
CSTR:
作者:
作者单位:

(南京工程学院自动化学院,江苏 南京 211167)

通讯作者:

赵 涛(1965—),男,博士,教授,主要从事新能源并网技术及变流装置的研究;E?mail: zdhxzt@njit.net.cn

中图分类号:

TM46

基金项目:

国家自然科学基金(62203211)


Frequency reduction model predictive control of MMC under unbalanced grid voltage condition
Author:
Affiliation:

(School of Automation,Nanjing Institute of Technology, Nanjing 211167, China)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    模块化多电平换流器在电网电压不平衡时存在三相电流不对称、有功和无功功率波动的问题。为此,建立不同控制目标下电网电压不平衡的数学模型,提出一种适用于网压不平衡的降频模型预测控制策略,该策略可以实现对正、负序电流的精确追踪;同时,引入降频因子,有效降低开关频率以减少模块化多电平换流器的开关损耗;计算开关频率时提出一种改进移动平均值算法,有效减少开关频率计算所占用内存和计算量。通过在Matlab/Simulink中搭建仿真模型,验证所提控制策略的有效性。

    Abstract:

    Modular multilevel converters have the problem of three?phase current asymmetry and fluctuations in active and reactive power when the grid voltages are unbalanced. For this reason, the mathematical model for voltage imbalance in power grid under different control objectives is established, and a frequency reduction model predictive control strategy suitable for grid voltage imbalance is proposed, which realizes accurate tracking of positive and negative sequence currents, and then, this paper introduces frequency reduction factors to effectively reduce the switching frequency and reduce the switching loss of modular multilevel converters. An improved moving average algorithm is proposed when calculating the switching frequency, which effectively reduces the memory and calculation amount occupied by the switching frequency calculation. The simulation results verify the effectiveness of the proposed control strategy by building a simulation model in Matlab/Simulink.

    参考文献
    相似文献
    引证文献
引用本文

王春霖,赵 涛,徐 友,等.电网电压不平衡工况下MMC的降频模型预测控制[J].电力科学与技术学报,2023,38(6):67-75.
WANG Chunlin, ZHAO Tao, XU You, et al. Frequency reduction model predictive control of MMC under unbalanced grid voltage condition[J]. Journal of Electric Power Science and Technology,2023,38(6):67-75.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 在线发布日期: 2024-01-30
文章二维码