基于交流阻抗建模的模块化多电平转换器固有低频振荡模式快速估算方法

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-10-30 DOI:10.1109/TIE.2024.3481907
Chu Sun;Na Wang;Yike Ding;Xiaolei Shang;Jikai Chen
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引用次数: 0

摘要

复杂的电力电子拓扑结构,如模块化多电平变换器(MMC),经常经历宽带振荡。为了揭示其理论机理,本文基于线性-时间-周期变量(LTPV)方法建立了MMC模型,并明确地得到了其交流侧导纳的解析表达式,即六度多项式分数。然后估计了MMC拓扑的三种固有振荡模式,并合成了与阻抗相对应的福斯特型电路,揭示了多重振荡模式的根本原因。研究发现,由于臂电容的存在,MMC阻抗呈现多重LC振荡。增大电容可以缓解振荡,使输出阻抗接近双电平变换器的滤波电感。将推导和分析扩展到单回路成形控制、电流控制和多回路控制。通过阻抗测量和硬件在环测试验证了阻抗模型和振荡频率估计的正确性。
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A Fast Estimation of the Intrinsic Low-Frequency Oscillation Modes of Modular Multilevel Converter Based on AC Impedance Modeling
Complex power electronic topologies, such as modular multilevel converter (MMC), frequently experience broadband oscillation. To reveal the theoretical mechanism, this article models MMC based on linear-time-periodic-variable (LTPV) approach and obtains analytical expression of its ac-side admittance explicitly, formulated as a six-degree polynomial fraction. Three intrinsic oscillation modes of MMC topology are then estimated, and Foster-type circuit corresponding to the impedance is synthesized, revealing the root cause of multiple oscillation modes. It is found that due to the existence of arm capacitors, MMC impedance presents multiple LC oscillations. Increasing the capacitance can mitigate the oscillation, making the output impedance close to the filter inductor of two-level converter. The derivation and analysis are extended to single-loop grid-forming control, current control, and multiple-loop control. Correctness of the impedance model and oscillation frequency estimation is verified through impedance measurement and hardware-in-the-loop test.
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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