Study on the Method for Analyzing Electric Network Resonance Stability

Zheng Xu, Shijia Wang, Facai Xing and Huangqing Xiao
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Zheng Xu: Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Shijia Wang: Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Facai Xing: Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Huangqing Xiao: Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Energies, 2018, vol. 11, issue 3, 1-13

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.

Keywords: electric network; state space model; s-domain nodal admittance matrix; resonance mode; nodal voltage mode shape; participation factor matrix; mode sensitivity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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