Application of Resonance Modal Analysis Index for Resonance Frequency Shifting

Xing Sun; Wanjun Lei; Lizi Deng; Yuqi Dai

doi:10.1109/ICPSAsia52756.2021.9621607

Application of Resonance Modal Analysis Index for Resonance Frequency Shifting

Xing Sun
, Wanjun Lei
, Lizi Deng
, Yuqi Dai

School of Electrical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, the resonance modal analysis (RMA) and modal frequency sensitivity (MFS) are investigated, with a focus on the resonance frequency shifting (RFS). Adjusting the components can shift the natural resonance frequency of the power grid, so as to suppress resonance. RMA can easily identify the resonance location. Based on the analysis of RMA index, a variable-limit genetic algorithm to shift resonance frequency is proposed. The position of the selected components and corresponding capacity is determined via participation factor and modal frequency sensitivity, respectively. Compared with the traditional method, the proposed method has higher iteration accuracy. Validity of the proposed method is verified using IEEE 14-bus test network.

Original language	English
Title of host publication	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	11-15
Number of pages	5
ISBN (Electronic)	9781665434980
DOIs	https://doi.org/10.1109/ICPSAsia52756.2021.9621607
State	Published - 2021
Event	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021 - Chengdu, China Duration: 18 Jul 2021 → 21 Jul 2021

Publication series

Name	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

Conference

Conference	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
Country/Territory	China
City	Chengdu
Period	18/07/21 → 21/07/21

Keywords

modal mrequency sensitivity
participation factor
resonance frequency shifting
resonance modal analysis

Access to Document

10.1109/ICPSAsia52756.2021.9621607

Cite this

Sun, X., Lei, W., Deng, L., & Dai, Y. (2021). Application of Resonance Modal Analysis Index for Resonance Frequency Shifting. In 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021 (pp. 11-15). (2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPSAsia52756.2021.9621607

@inproceedings{3745d89218394bd3bd59db1d4aac10f8,

title = "Application of Resonance Modal Analysis Index for Resonance Frequency Shifting",

abstract = "In this paper, the resonance modal analysis (RMA) and modal frequency sensitivity (MFS) are investigated, with a focus on the resonance frequency shifting (RFS). Adjusting the components can shift the natural resonance frequency of the power grid, so as to suppress resonance. RMA can easily identify the resonance location. Based on the analysis of RMA index, a variable-limit genetic algorithm to shift resonance frequency is proposed. The position of the selected components and corresponding capacity is determined via participation factor and modal frequency sensitivity, respectively. Compared with the traditional method, the proposed method has higher iteration accuracy. Validity of the proposed method is verified using IEEE 14-bus test network.",

keywords = "modal mrequency sensitivity, participation factor, resonance frequency shifting, resonance modal analysis",

author = "Xing Sun and Wanjun Lei and Lizi Deng and Yuqi Dai",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021 ; Conference date: 18-07-2021 Through 21-07-2021",

year = "2021",

doi = "10.1109/ICPSAsia52756.2021.9621607",

language = "英语",

series = "2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "11--15",

booktitle = "2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021",

}

Sun, X, Lei, W, Deng, L & Dai, Y 2021, Application of Resonance Modal Analysis Index for Resonance Frequency Shifting. in 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021. 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021, Institute of Electrical and Electronics Engineers Inc., pp. 11-15, 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021, Chengdu, China, 18/07/21. https://doi.org/10.1109/ICPSAsia52756.2021.9621607

Application of Resonance Modal Analysis Index for Resonance Frequency Shifting. / Sun, Xing; Lei, Wanjun; Deng, Lizi et al.
2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 11-15 (2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of Resonance Modal Analysis Index for Resonance Frequency Shifting

AU - Sun, Xing

AU - Lei, Wanjun

AU - Deng, Lizi

AU - Dai, Yuqi

PY - 2021

Y1 - 2021

N2 - In this paper, the resonance modal analysis (RMA) and modal frequency sensitivity (MFS) are investigated, with a focus on the resonance frequency shifting (RFS). Adjusting the components can shift the natural resonance frequency of the power grid, so as to suppress resonance. RMA can easily identify the resonance location. Based on the analysis of RMA index, a variable-limit genetic algorithm to shift resonance frequency is proposed. The position of the selected components and corresponding capacity is determined via participation factor and modal frequency sensitivity, respectively. Compared with the traditional method, the proposed method has higher iteration accuracy. Validity of the proposed method is verified using IEEE 14-bus test network.

AB - In this paper, the resonance modal analysis (RMA) and modal frequency sensitivity (MFS) are investigated, with a focus on the resonance frequency shifting (RFS). Adjusting the components can shift the natural resonance frequency of the power grid, so as to suppress resonance. RMA can easily identify the resonance location. Based on the analysis of RMA index, a variable-limit genetic algorithm to shift resonance frequency is proposed. The position of the selected components and corresponding capacity is determined via participation factor and modal frequency sensitivity, respectively. Compared with the traditional method, the proposed method has higher iteration accuracy. Validity of the proposed method is verified using IEEE 14-bus test network.

KW - modal mrequency sensitivity

KW - participation factor

KW - resonance frequency shifting

KW - resonance modal analysis

UR - https://www.scopus.com/pages/publications/85123346346

U2 - 10.1109/ICPSAsia52756.2021.9621607

DO - 10.1109/ICPSAsia52756.2021.9621607

M3 - 会议稿件

AN - SCOPUS:85123346346

T3 - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

SP - 11

EP - 15

BT - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

Y2 - 18 July 2021 through 21 July 2021

ER -

Sun X, Lei W, Deng L, Dai Y. Application of Resonance Modal Analysis Index for Resonance Frequency Shifting. In 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 11-15. (2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021). doi: 10.1109/ICPSAsia52756.2021.9621607

Application of Resonance Modal Analysis Index for Resonance Frequency Shifting

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