摘要详情

ID / 提交时间

110 / 2025-05-15 11:48:17

标题

Hierarchical adaptive control strategy of inertia and damping based on virtual synchronous generator

关键字

virtual synchronous generator, rotational inertia, damping factor, hierarchical adaptive control

主题及专题

全体主题

状态

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作者

Xiaoqiang Wen / Northeast Electric Power University

Xuebing He / Northeast Electric Power University

Weiru Yuan / Northeast Electric Power University

Baoping Jiang / Huaneng Tendering Co., Ltd.

Hanglong Gao / Guoneng Changzhou Secondary Power Generation Co.,Ltd.

Haifeng Zhang / Guoneng Changzhou Secondary Power Generation Co.,Ltd.

Haiming Niu / National Energy Zhishen Control Technology Co.Ltd

摘要

Aiming at the difficulties in the synergistic optimization of dynamic characteristics and stability margins of the Virtual Synchronous Generator (VSG) in high-proportion wind power and optical storage grid-connected systems, a hierarchical adaptive control architecture with rotational inertia J-segmented control and damping coefficient D-neural-network-controlled is proposed to effectively improve system stability. First, an active closed-loop small-signal model is established to analyze the influence relationships of parameters J and D. Then, the theoretical trends of parameters J and D are analyzed by combining the power angle-frequency oscillation characteristics, the adaptive segmentation function of J is derived, the parameter range of D is calculated, and a D control method based on an RBF neural network is proposed. Finally, in MATLAB/Simulink platform simulation verification, the experimental results show that: in the output fluctuation condition, compared with the fixed parameter control, this paper's control strategy makes the system frequency overshoot reduced by 26.27%, the settling time is shortened by 50%, which significantly improves the system's dynamic tracking ability for the power perturbation, and verifies the reasonableness and effectiveness of this paper's control strategy.