与 MMC-HVDC 系统集成的海上风电场阻抗耦合抑制控制方法

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2024-11-19 DOI:10.1109/TIE.2024.3493159
Peng Huang;Niancheng Zhou;Yongjie Luo;Xiuchao Duan;Qianggang Wang
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引用次数: 0

摘要

随着海上风电场规模的扩大,风电场的阻抗负阻尼增大,与模块化多电平变流器的阻抗耦合增强。这些影响导致WFs阻抗中更尖锐的共振峰,加剧了振荡问题。现有的用于改善单个变换器阻尼的振动抑制方法对深度相互作用系统的有效性有限。为了解决这个问题,本文揭示了MMC的负序阻抗是其与WFs相互作用的关键因素。在此基础上,提出了一种通过阻断交互路径来抑制阻抗耦合的控制方法。这种方法能够更有针对性和有效地改善系统稳定性,特别是在强相互作用频段内。通过综合仿真和实验验证了所提控制方法的有效性。
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Impedance Coupling Suppression Control Method for Offshore Wind Farms Integrated With MMC-HVDC System
With the expansion of offshore wind farms (WFs), the impedance of WFs exhibits increased negative damping and stronger impedance coupling with the modular multilevel converter (MMC). These effects result in sharper resonance peaks in the impedance of WFs, exacerbating oscillation problems. Existing oscillation suppression methods to improve the damping of individual converters are limited in effectiveness for systems with deep interaction. To address this issue, this article reveals that the negative-sequence impedance of the MMC is a crucial factor in its interaction with WFs. Based on this insight, a control method is proposed to suppress impedance coupling by blocking interaction paths. This method enables more targeted and effective improvements in system stability, especially within strong interaction frequency bands. The effectiveness of the proposed control method is validated through comprehensive simulations and experiments.
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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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