利用有源滤波器抑制倒置型高压AGPS输出电压纹波

IF 2 3区工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY

Fusion Engineering and Design Pub Date : 2025-09-20 DOI:10.1016/j.fusengdes.2025.115449

Zhenchang Du , Shaoxiang Ma , Hongqi Zhang , Yixiang Huang , Ming Zhang

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引用次数: 0

摘要

提出了一种直流有源电力滤波器（APF），用于抑制加速电网电源（AGPS）的输出电压纹波，以提高负离子基中性束注入（N-NBI）系统的运行效率和稳定性。提出的APF采用5电平有源中性点箝位（5L-ANPC）拓扑，集成到AGPS高压滤波支路中。提出了一种优化的模型预测控制（MPC）策略，结合自适应加权系数和开关惩罚来保证直流链路电容电压稳定和开关损失均衡。此外，采用长短期记忆（LSTM）神经网络预测负载电流波动，建立了整个电路的综合状态空间模型。仿真结果显示了显著的性能改进：峰间纹波电压降至原始值（5689 V→1601 V）的31.66%，纹波电压均方根（RMS）降至原始值（1764 V→398 V）的22.56%。

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Output voltage ripple suppression in inverted type high-voltage AGPS using APF

This paper presents a DC active power filter (APF) designed to mitigate output voltage ripple in the acceleration grid power supply (AGPS), to enhance the operational efficiency and stability of negative ion-based neutral beam injection (N-NBI) systems. The proposed APF employs a 5-level active neutral-point-clamped (5L-ANPC) topology, integrated into the AGPS high-voltage filtering branch. An optimized model predictive control (MPC) strategy is developed, incorporating adaptive weighting coefficients and switching penalties to ensure DC-link capacitor voltage stabilization and balanced switching losses. Furthermore, a long short-term memory (LSTM) neural network is implemented to predict load current fluctuations, enabling the establishment of a comprehensive state-space model for the entire circuit. Simulation results demonstrate significant performance improvements: peak-to-peak ripple voltage is reduced to 31.66% of the original value (5689 V

\to

1601 V), while ripple voltage root mean square (RMS) is reduced to 22.56% of the original value (1764 V

\to

398 V).

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来源期刊

Fusion Engineering and Design 工程技术-核科学技术

CiteScore

3.50

自引率

23.50%

发文量

275

审稿时长

3.8 months

期刊介绍： The journal accepts papers about experiments (both plasma and technology), theory, models, methods, and designs in areas relating to technology, engineering, and applied science aspects of magnetic and inertial fusion energy. Specific areas of interest include: MFE and IFE design studies for experiments and reactors; fusion nuclear technologies and materials, including blankets and shields; analysis of reactor plasmas; plasma heating, fuelling, and vacuum systems; drivers, targets, and special technologies for IFE, controls and diagnostics; fuel cycle analysis and tritium reprocessing and handling; operations and remote maintenance of reactors; safety, decommissioning, and waste management; economic and environmental analysis of components and systems.