Contrastive analysis of general and special forced oscillations of power systems

Yongfei Liu; Ping Ju; Jun Chen; Yiming Zhang; Yiping Yu

doi:10.17775/CSEEJPES.2015.00008

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Contrastive analysis of general and special forced oscillations of power systems

更新时间：2025-12-29

- Contrastive analysis of general and special forced oscillations of power systems
- Contrastive analysis of general and special forced oscillations of power systems
- 中国电机工程学会电力与能源系统学报(英文) 2015年1卷第1期页码：61-68
- 作者机构：
  
  1. Hohai University,,, CN,Jiangsu,Nanjing
  2. Electric Power Dispatching & Controlling Center, State Grid Henan Electric Power Company,Zhengzhou,China,450052
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2015.00008
  中图分类号：
- 纸质出版：2015
- 稿件说明：
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Yongfei Liu, Ping Ju, Jun Chen, 等. Contrastive analysis of general and special forced oscillations of power systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2015,1(1):61-68.

Yongfei Liu, Ping Ju, Jun Chen, et al. Contrastive analysis of general and special forced oscillations of power systems[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 61-68.
Yongfei Liu, Ping Ju, Jun Chen, 等. Contrastive analysis of general and special forced oscillations of power systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2015,1(1):61-68. DOI： 10.17775/CSEEJPES.2015.00008.

Yongfei Liu, Ping Ju, Jun Chen, et al. Contrastive analysis of general and special forced oscillations of power systems[J]. CSEE Journal of Power and Energy Systems, 2015, 1(1): 61-68. DOI： 10.17775/CSEEJPES.2015.00008.

摘要

Abstract

With the continuous incorporation of renewable energy and new loads into the electric power grid

random factors that induce general forced oscillations (GFOs) gradually become risks that affect the power system's security and stability. This research conducts a comparative analysis of the generation mechanisms of GFOs versus the traditional special forced oscillations (SFOs)

specifically

from the perspective of frequency domain. Similarities and differences in en-oscillating conditions

occurrence probabilities

and the influencing factors of GFO and SFO are compared to better understand and recognize the GFO theory and the response characteristics of the power system under random excitations. A series of simulations in the lO-generator

39-bus New England Test System is carried out to verify the analysis.

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