An ANN based damping controller for VSC-HVDC System

Kai Liao, Yan Xu, Koh Leong Hai, Yichen Qiao
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引用次数: 1

Abstract

As the penetration of renewable energy increasing in power systems, the contribution of VSC-HVDC for system stability is highly expected. Due to the decoupling modulating of active and reactive power output, the influence of HVDC on the inter-area oscillation is widely studied. This paper proposes a new ANN (Artificial Neural Network) based control design scheme for VSC-HVDC systems to damp inter-area oscillations of power systems. The controller is integrated to the conventional vector control to enhance the damping of the inter-area oscillations. Simulation test in a two-area-four-machine interconnection power system is studied. The test result showed that the VSC-HVDC with proposed damping controller can enhance the system damping under various disturbances.
基于神经网络的VSC-HVDC系统阻尼控制器
随着可再生能源在电力系统中的渗透程度不断提高,变压直流对电力系统稳定性的贡献备受期待。由于有功和无功输出的解耦调制,高压直流对区域间振荡的影响得到了广泛的研究。本文提出了一种新的基于人工神经网络的vdc - hvdc控制设计方案,以抑制电力系统的区域间振荡。该控制器与传统的矢量控制相结合,增强了区域间振荡的阻尼。研究了二区四机互联电力系统的仿真试验。试验结果表明,该阻尼控制器能有效地增强系统在各种扰动下的阻尼能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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