Model predictive power stabilizer optimized by PSO

Manuel A. Duarte-Mermoud; Freddy Milla

doi:10.1109/ICA-ACCA.2016.7778477

Model predictive power stabilizer optimized by PSO

Manuel A. Duarte-Mermoud
, Freddy Milla

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

2 Scopus citations

Abstract

An electric power system (EPS) often exhibits low frequency electromechanical oscillations due to insufficient damping caused by adverse operating conditions. In this paper, a model predictive power stabilizer (MPPS) is proposed to improve the oscillations in a single machine infinite bus (SMIB) power system. This approach is part of a small signal stability analysis that uses equations in incremental form around an operating point. The MPPS provides the optimal control inputs and design parameters were optimized using particle swarm optimization (PSO). A conventional power system stabilizer (CPSS), with parameters also optimized with PSO, was used for comparison. A large number of dynamic system responses for different values of power and system parameters have been used to validate our proposals.

Original language	English
Title of host publication	2016 IEEE International Conference on Automatica, ICA-ACCA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509011476
DOIs	https://doi.org/10.1109/ICA-ACCA.2016.7778477
State	Published - 8 Dec 2016
Externally published	Yes
Event	2016 IEEE International Conference on Automatica, ICA-ACCA 2016 - Curico, Chile Duration: 19 Oct 2016 → 21 Oct 2016

Publication series

Name	2016 IEEE International Conference on Automatica, ICA-ACCA 2016

Conference

Conference	2016 IEEE International Conference on Automatica, ICA-ACCA 2016
Country/Territory	Chile
City	Curico
Period	19/10/16 → 21/10/16

Keywords

Model predictive power stabilizer
MPC
PSO
PSS
SMIB

Access to Document

10.1109/ICA-ACCA.2016.7778477

Cite this

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title = "Model predictive power stabilizer optimized by PSO",

abstract = "An electric power system (EPS) often exhibits low frequency electromechanical oscillations due to insufficient damping caused by adverse operating conditions. In this paper, a model predictive power stabilizer (MPPS) is proposed to improve the oscillations in a single machine infinite bus (SMIB) power system. This approach is part of a small signal stability analysis that uses equations in incremental form around an operating point. The MPPS provides the optimal control inputs and design parameters were optimized using particle swarm optimization (PSO). A conventional power system stabilizer (CPSS), with parameters also optimized with PSO, was used for comparison. A large number of dynamic system responses for different values of power and system parameters have been used to validate our proposals.",

keywords = "Model predictive power stabilizer, MPC, PSO, PSS, SMIB",

author = "Duarte-Mermoud, \{Manuel A.\} and Freddy Milla",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Automatica, ICA-ACCA 2016 ; Conference date: 19-10-2016 Through 21-10-2016",

year = "2016",

month = dec,

day = "8",

doi = "10.1109/ICA-ACCA.2016.7778477",

language = "English",

series = "2016 IEEE International Conference on Automatica, ICA-ACCA 2016",

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

booktitle = "2016 IEEE International Conference on Automatica, ICA-ACCA 2016",

}

Duarte-Mermoud, MA & Milla, F 2016, Model predictive power stabilizer optimized by PSO. in 2016 IEEE International Conference on Automatica, ICA-ACCA 2016., 7778477, 2016 IEEE International Conference on Automatica, ICA-ACCA 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE International Conference on Automatica, ICA-ACCA 2016, Curico, Chile, 19/10/16. https://doi.org/10.1109/ICA-ACCA.2016.7778477

Model predictive power stabilizer optimized by PSO. / Duarte-Mermoud, Manuel A.; Milla, Freddy.
2016 IEEE International Conference on Automatica, ICA-ACCA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7778477 (2016 IEEE International Conference on Automatica, ICA-ACCA 2016).

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

TY - GEN

T1 - Model predictive power stabilizer optimized by PSO

AU - Duarte-Mermoud, Manuel A.

AU - Milla, Freddy

PY - 2016/12/8

Y1 - 2016/12/8

N2 - An electric power system (EPS) often exhibits low frequency electromechanical oscillations due to insufficient damping caused by adverse operating conditions. In this paper, a model predictive power stabilizer (MPPS) is proposed to improve the oscillations in a single machine infinite bus (SMIB) power system. This approach is part of a small signal stability analysis that uses equations in incremental form around an operating point. The MPPS provides the optimal control inputs and design parameters were optimized using particle swarm optimization (PSO). A conventional power system stabilizer (CPSS), with parameters also optimized with PSO, was used for comparison. A large number of dynamic system responses for different values of power and system parameters have been used to validate our proposals.

AB - An electric power system (EPS) often exhibits low frequency electromechanical oscillations due to insufficient damping caused by adverse operating conditions. In this paper, a model predictive power stabilizer (MPPS) is proposed to improve the oscillations in a single machine infinite bus (SMIB) power system. This approach is part of a small signal stability analysis that uses equations in incremental form around an operating point. The MPPS provides the optimal control inputs and design parameters were optimized using particle swarm optimization (PSO). A conventional power system stabilizer (CPSS), with parameters also optimized with PSO, was used for comparison. A large number of dynamic system responses for different values of power and system parameters have been used to validate our proposals.

KW - Model predictive power stabilizer

KW - MPC

KW - PSO

KW - PSS

KW - SMIB

UR - https://www.scopus.com/pages/publications/85010311113

U2 - 10.1109/ICA-ACCA.2016.7778477

DO - 10.1109/ICA-ACCA.2016.7778477

M3 - Conference contribution

AN - SCOPUS:85010311113

T3 - 2016 IEEE International Conference on Automatica, ICA-ACCA 2016

BT - 2016 IEEE International Conference on Automatica, ICA-ACCA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE International Conference on Automatica, ICA-ACCA 2016

Y2 - 19 October 2016 through 21 October 2016

ER -

Model predictive power stabilizer optimized by PSO

Abstract

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Keywords

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