Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations

Xiaoyan Bian; C. T. Tse; C. Y. Chung; K. W. Wang

doi:10.1109/SUPERGEN.2009.5348380

Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations

Xiaoyan Bian
, C. T. Tse
, C. Y. Chung
, K. W. Wang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

7 Citations (Scopus)

Abstract

This paper presents an application of probabilistic theory to coordinated design of power system stabilizers (PSSs) and FACTS controllers, taking static VAr system (SVC) as an example. The aim is to enhance the damping of multi electromechanical modes in a multimachine system over a large and pre-specified set of operating conditions. In this work, conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices (PSIs) are used for robust damping controller site selection and initial parameter setting. A probabilistic eigenvalue-based objective function for coordinated synthesis of PSS and SVC controller parameters are then proposed. The effectiveness of the proposed controllers is demonstrated on an 8-machine system.

Original language	English
Title of host publication	1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09
DOIs	https://doi.org/10.1109/SUPERGEN.2009.5348380
Publication status	Published - Dec 2009
Event	1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09 - Nanjing, China Duration: 6 Apr 2009 → 7 Apr 2009

Publication series

Name	1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09

Conference

Conference	1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09
Country/Territory	China
City	Nanjing
Period	6/04/09 → 7/04/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Eigenvalue
Eigenvalue sensitivity
Probabilistic method
PSS
SVC

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

More information

10.1109/SUPERGEN.2009.5348380

Cite this

Bian, X., Tse, C. T., Chung, C. Y., & Wang, K. W. (2009). Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations. In 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09 Article 5348380 (1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09). https://doi.org/10.1109/SUPERGEN.2009.5348380

@inproceedings{9f77c91bd1364c7c87a75cf9b1d823bb,

title = "Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations",

abstract = "This paper presents an application of probabilistic theory to coordinated design of power system stabilizers (PSSs) and FACTS controllers, taking static VAr system (SVC) as an example. The aim is to enhance the damping of multi electromechanical modes in a multimachine system over a large and pre-specified set of operating conditions. In this work, conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices (PSIs) are used for robust damping controller site selection and initial parameter setting. A probabilistic eigenvalue-based objective function for coordinated synthesis of PSS and SVC controller parameters are then proposed. The effectiveness of the proposed controllers is demonstrated on an 8-machine system.",

keywords = "Eigenvalue, Eigenvalue sensitivity, Probabilistic method, PSS, SVC",

author = "Xiaoyan Bian and Tse, \{C. T.\} and Chung, \{C. Y.\} and Wang, \{K. W.\}",

year = "2009",

month = dec,

doi = "10.1109/SUPERGEN.2009.5348380",

language = "English",

isbn = "9781424449347",

series = "1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09",

booktitle = "1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09",

note = "1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09 ; Conference date: 06-04-2009 Through 07-04-2009",

}

Bian, X, Tse, CT, Chung, CY & Wang, KW 2009, Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations. in 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09., 5348380, 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09, 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09, Nanjing, China, 6/04/09. https://doi.org/10.1109/SUPERGEN.2009.5348380

Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations. / Bian, Xiaoyan; Tse, C. T.; Chung, C. Y. et al.
1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09. 2009. 5348380 (1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations

AU - Bian, Xiaoyan

AU - Tse, C. T.

AU - Chung, C. Y.

AU - Wang, K. W.

PY - 2009/12

Y1 - 2009/12

N2 - This paper presents an application of probabilistic theory to coordinated design of power system stabilizers (PSSs) and FACTS controllers, taking static VAr system (SVC) as an example. The aim is to enhance the damping of multi electromechanical modes in a multimachine system over a large and pre-specified set of operating conditions. In this work, conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices (PSIs) are used for robust damping controller site selection and initial parameter setting. A probabilistic eigenvalue-based objective function for coordinated synthesis of PSS and SVC controller parameters are then proposed. The effectiveness of the proposed controllers is demonstrated on an 8-machine system.

AB - This paper presents an application of probabilistic theory to coordinated design of power system stabilizers (PSSs) and FACTS controllers, taking static VAr system (SVC) as an example. The aim is to enhance the damping of multi electromechanical modes in a multimachine system over a large and pre-specified set of operating conditions. In this work, conventional eigenvalue analysis is extended to the probabilistic environment in which the statistical nature of eigenvalues corresponding to different operating conditions is described by their expectations and variances. Probabilistic sensitivity indices (PSIs) are used for robust damping controller site selection and initial parameter setting. A probabilistic eigenvalue-based objective function for coordinated synthesis of PSS and SVC controller parameters are then proposed. The effectiveness of the proposed controllers is demonstrated on an 8-machine system.

KW - Eigenvalue

KW - Eigenvalue sensitivity

KW - Probabilistic method

KW - PSS

KW - SVC

UR - https://www.scopus.com/pages/publications/77951433377

U2 - 10.1109/SUPERGEN.2009.5348380

DO - 10.1109/SUPERGEN.2009.5348380

M3 - Conference article published in proceeding or book

AN - SCOPUS:77951433377

SN - 9781424449347

T3 - 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09

BT - 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09

T2 - 1st International Conference on Sustainable Power Generation and Supply, SUPERGEN '09

Y2 - 6 April 2009 through 7 April 2009

ER -

Coordinated design of probabilistic PSS and FACTS controllers to damp oscillations

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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