An Improved Model Predictive Control Strategy for Virtual Synchronous Generator with Adaptive Parameters
编号:122 访问权限:公开 更新:2023-06-13 21:26:50 浏览:505次 张贴报告

报告开始:2023年06月19日 10:15(Asia/Shanghai)

报告时间:0min

所在会场:[E] Poster Session [E4] Poster Session 4

摘要
Virtual Synchronous Generator (VSG) can simulate the characteristics of synchronous generator to provide inertia and damping for the system. For systems using an NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning, as well as more sensors. In addition, when island microgrid is switched by high power load, fixed parameter VSG cannot guarantee frequency regulation performance. To solve these problems, this paper proposes an NPC three-level VSG model predictive control strategy with parameter adaptation. The method is simple in operation and reduces the use of DC side current sensor. The angular velocity deviation and the change-rate of angular velocity are combined with the adaptive control strategy, and the fastest tracking differentiator is used to extract the angular velocity rate of change without setting subsection functions and thresholds, which effectively avoids frequent parameter fluctuations and improves the frequency stability of the microgrid when power changes. The effectiveness of the proposed strategy is verified by simulation.
关键词
virtual synchronous generator (VSG);neutral point clamped converter (NPC);model predictive control;parameter adaptive control
报告人
Nan Jin
Zhengzhou University of Light Industry

Xiaoliang Yang
Zhengzhou University of Light Industry

Rui Wang
Zhengzhou University of Light Industry

Jiajun Bai
Zhengzhou University of Light Industry

Yuyue Cui
Zhengzhou University of Light Industry

Yihao Li
Zhengzhou University of Light Industry

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重要日期
  • 会议日期

    06月16日

    2023

    06月19日

    2023

  • 06月15日 2023

    报告提交截止日期

  • 07月02日 2023

    注册截止日期

主办单位
Huazhong University of Science and Technology, China
(IEEE PELS)
IEEE
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