论文标题

实时频率调节的LCC HVDC系统的数据驱动控制

Data-driven Control of an LCC HVDC System for Real-time Frequency Regulation

论文作者

Kim, Young-Jin

论文摘要

数据传感和处理技术的最新进展可以控制数据驱动的高压直流电流(HVDC)系统,以改善接口电网的操作稳定性。本文提出了针对具有线路交换器(LCCS)的HVDC系统的最佳数据驱动控制策略,其中DC-Link电压和电流在不同的HVDC终端处最佳调节,以改善整流器和逆变器侧网格的频率调节(FR)。每个HVDC转换器都与反馈回路集成,以以局部方式调节网格频率和直流链接电压。对于两侧网格中的最佳FR,然后开发出HVDC连锁网格的数据驱动模型,以设计数据驱动的线性二次高斯(LQG)调节剂,该调节器与转换器的反馈回路合并。对两个不同LCC HVDC系统的案例研究是使用数据驱动模型进行的,这些模型通过与基于物理的模型和全面的MATLAB/SIMULINK模型进行了验证。案例研究的结果证实,最佳数据驱动的控制策略成功利用了HVDC转换器的快速动态。此外,还可以实现HVDC系统和同步发电机的合作,从而在各种HVDC系统规范,LQG参数以及惯性仿真和下垂控制条件下改善实时FR。

Recent advances in data sensing and processing technologies enable data-driven control of high-voltage direct-current (HVDC) systems for improving the operational stability of interfacing power grids. This paper proposes an optimal data-driven control strategy for an HVDC system with line-commutated converters (LCCs), wherein the dc-link voltage and current are optimally regulated at distinct HVDC terminals to improve frequency regulation (FR) in both rectifier- and inverter-side grids. Each HVDC converter is integrated with feedback loops for regulation of grid frequency and dc-link voltage in a localized manner. For optimal FR in both-side grids, a data-driven model of the HVDC-linked grids is then developed to design a data-driven linear quadratic Gaussian (LQG) regulator, which is incorporated with the converter feedback loops. Case studies on two different LCC HVDC systems are performed using the data-driven models, which are validated via comparisons with physics-based models and comprehensive MATLAB/SIMULINK models. The results of the case studies confirm that the optimal data-driven control strategy successfully exploits the fast dynamics of HVDC converters; moreover, cooperation of the HVDC system and synchronous generators in both-side grids is achieved, improving real-time FR under various HVDC system specifications, LQG parameters, and inertia emulation and droop control conditions.

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