Optimization of PSS4B Based on Hybrid Particle Swarm Optimization

Jian Wu; Yongshuai Cui; Zhihang Luo; Dianguo Xu

doi:10.1109/REPE55559.2022.9949403

Optimization of PSS4B Based on Hybrid Particle Swarm Optimization

Jian Wu
, Yongshuai Cui
, Zhihang Luo
, Dianguo Xu

School of Electrical Engineering and Automation

Harbin Institute of Technology

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

Abstract

With the rapid development of power system, the power grid becomes more and more complex, which makes the system often appear low frequency oscillation. PSS is the most important measure to suppress low-frequency oscillations, but the single-branch PSS is difficult to meet the requirements of the current power system, most of the applications of PSS4B with superior performance to suppress low-frequency oscillations. In this paper, the mechanism of low frequency oscillation and common PSS model are introduced. Secondly, the hybrid particle swarm optimization algorithm with higher convergence accuracy is improved based on the basic particle swarm optimization algorithm. Finally, based on the infinite motor system, the simulation results of three systems without PSS, with PSS4B and optimized PSS4B were compared by setting different disturbances. The simulation results show that PSS4B parameter simulation optimized by hybrid particle swarm optimization algorithm can suppress the oscillation faster and enhance the stability of the system.

Original language	English
Title of host publication	2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	287-291
Number of pages	5
ISBN (Electronic)	9781665482066
DOIs	https://doi.org/10.1109/REPE55559.2022.9949403
State	Published - 2022
Event	5th International Conference on Renewable Energy and Power Engineering, REPE 2022 - Virtual, Online, China Duration: 28 Sep 2022 → 30 Sep 2022

Publication series

Name	2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022

Conference

Conference	5th International Conference on Renewable Energy and Power Engineering, REPE 2022
Country/Territory	China
City	Virtual, Online
Period	28/09/22 → 30/09/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

PSS
hybrid particle swarm optimization
low frequency oscillation

Access to Document

10.1109/REPE55559.2022.9949403

Cite this

Wu, J., Cui, Y., Luo, Z., & Xu, D. (2022). Optimization of PSS4B Based on Hybrid Particle Swarm Optimization. In 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022 (pp. 287-291). (2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/REPE55559.2022.9949403

@inproceedings{68e3c28cc50a4d78a3bf93c227c50de1,

title = "Optimization of PSS4B Based on Hybrid Particle Swarm Optimization",

abstract = "With the rapid development of power system, the power grid becomes more and more complex, which makes the system often appear low frequency oscillation. PSS is the most important measure to suppress low-frequency oscillations, but the single-branch PSS is difficult to meet the requirements of the current power system, most of the applications of PSS4B with superior performance to suppress low-frequency oscillations. In this paper, the mechanism of low frequency oscillation and common PSS model are introduced. Secondly, the hybrid particle swarm optimization algorithm with higher convergence accuracy is improved based on the basic particle swarm optimization algorithm. Finally, based on the infinite motor system, the simulation results of three systems without PSS, with PSS4B and optimized PSS4B were compared by setting different disturbances. The simulation results show that PSS4B parameter simulation optimized by hybrid particle swarm optimization algorithm can suppress the oscillation faster and enhance the stability of the system.",

keywords = "PSS, hybrid particle swarm optimization, low frequency oscillation",

author = "Jian Wu and Yongshuai Cui and Zhihang Luo and Dianguo Xu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Conference on Renewable Energy and Power Engineering, REPE 2022 ; Conference date: 28-09-2022 Through 30-09-2022",

year = "2022",

doi = "10.1109/REPE55559.2022.9949403",

language = "英语",

series = "2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022",

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

pages = "287--291",

booktitle = "2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022",

address = "美国",

}

Wu, J, Cui, Y, Luo, Z & Xu, D 2022, Optimization of PSS4B Based on Hybrid Particle Swarm Optimization. in 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022. 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 287-291, 5th International Conference on Renewable Energy and Power Engineering, REPE 2022, Virtual, Online, China, 28/09/22. https://doi.org/10.1109/REPE55559.2022.9949403

Optimization of PSS4B Based on Hybrid Particle Swarm Optimization. / Wu, Jian; Cui, Yongshuai; Luo, Zhihang et al.
2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 287-291 (2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022).

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

TY - GEN

T1 - Optimization of PSS4B Based on Hybrid Particle Swarm Optimization

AU - Wu, Jian

AU - Cui, Yongshuai

AU - Luo, Zhihang

AU - Xu, Dianguo

PY - 2022

Y1 - 2022

N2 - With the rapid development of power system, the power grid becomes more and more complex, which makes the system often appear low frequency oscillation. PSS is the most important measure to suppress low-frequency oscillations, but the single-branch PSS is difficult to meet the requirements of the current power system, most of the applications of PSS4B with superior performance to suppress low-frequency oscillations. In this paper, the mechanism of low frequency oscillation and common PSS model are introduced. Secondly, the hybrid particle swarm optimization algorithm with higher convergence accuracy is improved based on the basic particle swarm optimization algorithm. Finally, based on the infinite motor system, the simulation results of three systems without PSS, with PSS4B and optimized PSS4B were compared by setting different disturbances. The simulation results show that PSS4B parameter simulation optimized by hybrid particle swarm optimization algorithm can suppress the oscillation faster and enhance the stability of the system.

AB - With the rapid development of power system, the power grid becomes more and more complex, which makes the system often appear low frequency oscillation. PSS is the most important measure to suppress low-frequency oscillations, but the single-branch PSS is difficult to meet the requirements of the current power system, most of the applications of PSS4B with superior performance to suppress low-frequency oscillations. In this paper, the mechanism of low frequency oscillation and common PSS model are introduced. Secondly, the hybrid particle swarm optimization algorithm with higher convergence accuracy is improved based on the basic particle swarm optimization algorithm. Finally, based on the infinite motor system, the simulation results of three systems without PSS, with PSS4B and optimized PSS4B were compared by setting different disturbances. The simulation results show that PSS4B parameter simulation optimized by hybrid particle swarm optimization algorithm can suppress the oscillation faster and enhance the stability of the system.

KW - PSS

KW - hybrid particle swarm optimization

KW - low frequency oscillation

UR - https://www.scopus.com/pages/publications/85143421039

U2 - 10.1109/REPE55559.2022.9949403

DO - 10.1109/REPE55559.2022.9949403

M3 - 会议稿件

AN - SCOPUS:85143421039

T3 - 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022

SP - 287

EP - 291

BT - 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Renewable Energy and Power Engineering, REPE 2022

Y2 - 28 September 2022 through 30 September 2022

ER -

Wu J, Cui Y, Luo Z, Xu D. Optimization of PSS4B Based on Hybrid Particle Swarm Optimization. In 2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 287-291. (2022 5th International Conference on Renewable Energy and Power Engineering, REPE 2022). doi: 10.1109/REPE55559.2022.9949403

Optimization of PSS4B Based on Hybrid Particle Swarm Optimization

Abstract

Publication series

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UN SDGs

Keywords

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