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Energies 2018, 11(3), 646; https://doi.org/10.3390/en11030646

Study on the Method for Analyzing Electric Network Resonance Stability

Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
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Received: 5 March 2018 / Revised: 10 March 2018 / Accepted: 12 March 2018 / Published: 14 March 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

With the increasing utilization of power electronic equipment in power systems, there has been an increase in the occurrence of oscillatory behavior from unknown sources in recent years. This paper puts forward the concept of electric network resonance stability (ENRS) analysis and tries to classify the above-mentioned oscillations into the category of ENRS. With this method, many complex power system oscillations can be analyzed with the linear network theory, which is mathematically mature. The objective of this paper is to establish a systematic approach to analyze ENRS. By introducing the s-domain nodal admittance matrix (NAM) of the electric network, this paper transforms the judgment of ENRS into the zero-point solution of the determinant of the s-domain NAM. First, the zero-points of the determinant of the s-domain NAM are proved to correspond to the eigenvalues of the system. Then, a systematic approach is proposed to analyze ENRS, which includes the identification of the dominant resonance region and the determination of the key components related to resonance modes. The effectiveness of the proposed approach for analyzing ENRS is illustrated through case studies. View Full-Text
Keywords: electric network; state space model; s-domain nodal admittance matrix; resonance mode; nodal voltage mode shape; participation factor matrix; mode sensitivity electric network; state space model; s-domain nodal admittance matrix; resonance mode; nodal voltage mode shape; participation factor matrix; mode sensitivity
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Xu, Z.; Wang, S.; Xing, F.; Xiao, H. Study on the Method for Analyzing Electric Network Resonance Stability. Energies 2018, 11, 646.

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