抑制MMC-HVDC连接风电场直流动态和内部谐波引起次同步振荡的阻尼控制器优化

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS
Qianqian Zeng;Lei Lin;Xiaojie Shi;Qiong Chen
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引用次数: 0

摘要

本文研究了基于模块化多电平变换器(MMC)的高压直流(HVDC)连接风电场中的一种新型次同步振荡(SSO)。为了阐明SSO背后的机制,进行了模态和参与因子分析,揭示了子模块电压的直流和基频分量以及MMC的直流电流是主要贡献者。然后,利用根轨迹分析研究了控制策略、电路参数和运行条件对单点登录的影响。针对以往的阻尼控制方法在研究条件下失效的问题,提出了一种改进的阻尼控制策略,结合最优控制信号选择有效抑制单点登录。为了使阻尼控制器性能最大化,提出了一种系统的阻尼控制器参数优化方法。通过控制器硬件在环(CHIL)测试验证了所提出策略的理论见解和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of Damping Controller for Mitigating DC Dynamics and Internal Harmonics Causing Subsynchronous Oscillation in MMC-HVDC Connected Wind Farms
This article explores a novel subsynchronous oscillation (SSO) in the modular multilevel converter (MMC)-based high-voltage direct current (HVDC) connected wind farms. To elucidate the mechanism behind SSO, modal and participation factor analyses are performed, revealing that the dc and fundamental frequency components of the submodule voltage, as well as the MMC's dc current, are the primary contributors. Then, the impact of control strategies, circuit parameters, and operating conditions on SSO is examined using root locus analysis. Since the previous damping control method fails under the studied condition, an improved damping control strategy is proposed, incorporating optimal control signal selection to suppress SSO effectively. A systematic optimization procedure for damping controller parameters is also presented to maximize performance. Theoretical insights and the effectiveness of the proposed strategy are validated through controller hardware-in-loop (CHIL) testing.
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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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