Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation

Deyou Yang; Guowei Cai; Ka Wing Chan

doi:10.3969/j.issn.1006-6047.2014.02.010

Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation

Deyou Yang, Guowei Cai, Ka Wing Chan

Research output: Journal article publication › Journal article › Academic research › peer-review

3 Citations (Scopus)

Abstract

The system identification theory based on SSI (Stochastic Subspace Identification) algorithm is researched, a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed, by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electromechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency.

Original language	English
Pages (from-to)	54-60
Number of pages	7
Journal	Dianli Zidonghua Shebei/Electric Power Automation Equipment
Volume	34
Issue number	2
DOIs	https://doi.org/10.3969/j.issn.1006-6047.2014.02.010
Publication status	Published - 1 Feb 2014

Keywords

Controllability
Dynamic response
Electric power systems
Electro-mechanical oscillation
Participation factor
Stability
Stochastic subspace

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering
Energy Engineering and Power Technology

More information

10.3969/j.issn.1006-6047.2014.02.010

Cite this

@article{28a7d05092474f89902a1beee771dd5a,

title = "Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation",

abstract = "The system identification theory based on SSI (Stochastic Subspace Identification) algorithm is researched, a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed, by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electromechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency.",

keywords = "Controllability, Dynamic response, Electric power systems, Electro-mechanical oscillation, Participation factor, Stability, Stochastic subspace",

author = "Deyou Yang and Guowei Cai and Chan, {Ka Wing}",

year = "2014",

month = feb,

day = "1",

doi = "10.3969/j.issn.1006-6047.2014.02.010",

language = "English",

volume = "34",

pages = "54--60",

journal = "Dianli Zidonghua Shebei / Electric Power Automation Equipment",

issn = "1006-6047",

publisher = "Electric Power Automation Equipment Press",

number = "2",

}

TY - JOUR

T1 - Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation

AU - Yang, Deyou

AU - Cai, Guowei

AU - Chan, Ka Wing

PY - 2014/2/1

Y1 - 2014/2/1

N2 - The system identification theory based on SSI (Stochastic Subspace Identification) algorithm is researched, a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed, by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electromechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency.

AB - The system identification theory based on SSI (Stochastic Subspace Identification) algorithm is researched, a method of electro-mechanical oscillation characteristics identification based on SSI is designed for power system and a method of participation factor calculation based on response is proposed, by which the quantitative evaluation of system controllability is realized. The proposed method is applied to calculate the dynamic angular frequency response of each generator in a system and the system electromechanical oscillation characteristics can be globally analyzed to effectively avoid the defect of traditional low-frequency oscillation analysis with insufficient information based on single signal. Simulative results of IEEE 39-bus system show its high identification accuracy and calculation efficiency.

KW - Controllability

KW - Dynamic response

KW - Electric power systems

KW - Electro-mechanical oscillation

KW - Participation factor

KW - Stability

KW - Stochastic subspace

UR - http://www.scopus.com/inward/record.url?scp=84894767903&partnerID=8YFLogxK

U2 - 10.3969/j.issn.1006-6047.2014.02.010

DO - 10.3969/j.issn.1006-6047.2014.02.010

M3 - Journal article

SN - 1006-6047

VL - 34

SP - 54

EP - 60

JO - Dianli Zidonghua Shebei / Electric Power Automation Equipment

JF - Dianli Zidonghua Shebei / Electric Power Automation Equipment

IS - 2

ER -

Characteristics extraction and controllability evaluation based on dynamic response of electro-mechanical oscillation

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this