Interaction Quantification of MTDC Systems Connected with Weak AC Grids

IF 6.9 2区 工程技术 Q2 ENERGY & FUELS
Wanning Zheng;Jiabing Hu;Li Chai;Bing Liu;Zixia Sang
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引用次数: 0

Abstract

The small-signal stability of multi-terminal high voltage direct current (HVDC) systems has become one of the vital issues in modern power systems. Interactions among voltage source converters (VSCs) have a significant impact on the stability of the system. This paper proposes an interaction quantification method based on the self-/en-stabilizing coefficients of the general $\boldsymbol{N}-\mathbf{terminal}$ HVDC system with a weak AC network connection. First, we derive the explicit formulae of self-/en-stabilizing coefficients for any $\boldsymbol{N}-\mathbf{terminal}$ HVDC system, which can quantify the interactions through different paths analytically. The relation between the self-/en-stabilizing coefficients and the poles of the system can be used to evaluate the impact of the interactions on the system stability effectively. Then, we employ the obtained formulae to analyze the parameter sensitivity and explain how a parameter affects the stability of the system through different paths of interactions. Finally, extensive examples are given to demonstrate the effectiveness of the proposed method.
与弱交流电网连接的 MTDC 系统的相互作用量化
多端高压直流(HVDC)系统的小信号稳定性已成为现代电力系统的重要问题之一。电压源换流器(VSC)之间的相互作用对系统的稳定性有重大影响。本文提出了一种基于弱交流网络连接的一般 $\boldsymbol{N}-\mathbf{terminal}$ HVDC 系统自/超稳定系数的交互量化方法。首先,我们推导出任意$\boldsymbol{N}-\mathbf{terminal}$ HVDC系统的自/超稳定系数的显式,从而可以分析量化不同路径的相互作用。自/非稳定系数与系统极点之间的关系可用于有效评估相互作用对系统稳定性的影响。然后,我们利用所获得的公式分析参数敏感性,并解释参数如何通过不同的相互作用路径影响系统的稳定性。最后,我们列举了大量实例来证明所提方法的有效性。
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来源期刊
CiteScore
11.80
自引率
12.70%
发文量
389
审稿时长
26 weeks
期刊介绍: The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.
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