An Improved Model Predictive Control Strategy for Virtual Synchronous Generator with Adaptive Parameters
ID:122 View Protection:PUBLIC Updated Time:2023-06-13 21:26:50 Hits:597 Poster Presentation

Start Time:2023-06-19 10:15 (Asia/Shanghai)

Duration:0min

Session:[E] Poster Session » [E4] Poster Session 4

Abstract
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.
Keywords
virtual synchronous generator (VSG);neutral point clamped converter (NPC);model predictive control;parameter adaptive control
Speaker
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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