Dynamic probability-density-dependent event-triggered L∞ LFC for power systems subject to stochastic delays

Zhiying Wu; Aibo Zhang; Tao Yu; Yuman Li; Junlin Xiong; Min Xie

doi:10.1109/TNSE.2023.3300876

Dynamic probability-density-dependent event-triggered L_∞ LFC for power systems subject to stochastic delays

Zhiying Wu, Aibo Zhang, Tao Yu^*, Yuman Li, Junlin Xiong, Min Xie

^*Corresponding author for this work

Department of Systems Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

7 Citations (Scopus)

Abstract

The dynamic event-triggered L_∞ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To fully use the stochastic features of delay, a probability density function is used to describe the distribution of transmission delay. To save the transmission cost, a dynamic event-triggered scheme (ETS) is constructed for power systems. Compared to the existing ETSs, dynamic parameters are used as trigger threshold. Under the dynamic ETS, a new system model is used to describe the event-triggered LFC system with stochastic transmission delays and disturbances. Then, sufficient conditions are formulated to guarantee the system stability in terms of the constructed Lyapunov-Krasovskii functional. A two-area power system is used to verify the effectiveness of the proposed approach. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

Original language	English
Pages (from-to)	453-462
Journal	IEEE Transactions on Network Science and Engineering
Volume	11
Issue number	1
Online published	7 Aug 2023
DOIs	https://doi.org/10.1109/TNSE.2023.3300876
Publication status	Published - Jan 2024

Research Keywords

Costs
Delays
Distributed delay
dynamic event-triggered scheme
Generators
Power system dynamics
Power system stability
power systems
Stochastic processes
stochastic transmission delays
Sufficient conditions

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10.1109/TNSE.2023.3300876

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@article{f75b3fbab2b24e7da9306aa0d500b0af,

title = "Dynamic probability-density-dependent event-triggered L∞ LFC for power systems subject to stochastic delays",

abstract = "The dynamic event-triggered L∞ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To fully use the stochastic features of delay, a probability density function is used to describe the distribution of transmission delay. To save the transmission cost, a dynamic event-triggered scheme (ETS) is constructed for power systems. Compared to the existing ETSs, dynamic parameters are used as trigger threshold. Under the dynamic ETS, a new system model is used to describe the event-triggered LFC system with stochastic transmission delays and disturbances. Then, sufficient conditions are formulated to guarantee the system stability in terms of the constructed Lyapunov-Krasovskii functional. A two-area power system is used to verify the effectiveness of the proposed approach. {\textcopyright} 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.",

keywords = "Costs, Delays, Distributed delay, dynamic event-triggered scheme, Generators, Power system dynamics, Power system stability, power systems, Stochastic processes, stochastic transmission delays, Sufficient conditions",

author = "Zhiying Wu and Aibo Zhang and Tao Yu and Yuman Li and Junlin Xiong and Min Xie",

year = "2024",

month = jan,

doi = "10.1109/TNSE.2023.3300876",

language = "English",

volume = "11",

pages = "453--462",

journal = "IEEE Transactions on Network Science and Engineering",

issn = "2327-4697",

publisher = "IEEE Computer Society",

number = "1",

}

TY - JOUR

T1 - Dynamic probability-density-dependent event-triggered L∞ LFC for power systems subject to stochastic delays

AU - Wu, Zhiying

AU - Zhang, Aibo

AU - Yu, Tao

AU - Li, Yuman

AU - Xiong, Junlin

AU - Xie, Min

PY - 2024/1

Y1 - 2024/1

N2 - The dynamic event-triggered L∞ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To fully use the stochastic features of delay, a probability density function is used to describe the distribution of transmission delay. To save the transmission cost, a dynamic event-triggered scheme (ETS) is constructed for power systems. Compared to the existing ETSs, dynamic parameters are used as trigger threshold. Under the dynamic ETS, a new system model is used to describe the event-triggered LFC system with stochastic transmission delays and disturbances. Then, sufficient conditions are formulated to guarantee the system stability in terms of the constructed Lyapunov-Krasovskii functional. A two-area power system is used to verify the effectiveness of the proposed approach. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

AB - The dynamic event-triggered L∞ load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To fully use the stochastic features of delay, a probability density function is used to describe the distribution of transmission delay. To save the transmission cost, a dynamic event-triggered scheme (ETS) is constructed for power systems. Compared to the existing ETSs, dynamic parameters are used as trigger threshold. Under the dynamic ETS, a new system model is used to describe the event-triggered LFC system with stochastic transmission delays and disturbances. Then, sufficient conditions are formulated to guarantee the system stability in terms of the constructed Lyapunov-Krasovskii functional. A two-area power system is used to verify the effectiveness of the proposed approach. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

KW - Costs

KW - Delays

KW - Distributed delay

KW - dynamic event-triggered scheme

KW - Generators

KW - Power system dynamics

KW - Power system stability

KW - power systems

KW - Stochastic processes

KW - stochastic transmission delays

KW - Sufficient conditions

UR - http://www.scopus.com/inward/record.url?scp=85167829840&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85167829840&origin=recordpage

U2 - 10.1109/TNSE.2023.3300876

DO - 10.1109/TNSE.2023.3300876

M3 - RGC 21 - Publication in refereed journal

SN - 2327-4697

VL - 11

SP - 453

EP - 462

JO - IEEE Transactions on Network Science and Engineering

JF - IEEE Transactions on Network Science and Engineering

IS - 1

ER -

Dynamic probability-density-dependent event-triggered L_∞ LFC for power systems subject to stochastic delays

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GRF: New Approaches for Reliability Analysis of Industrial Systems Subject to Multivariate Degradation

GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components

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Dynamic probability-density-dependent event-triggered L∞ LFC for power systems subject to stochastic delays

Abstract

Research Keywords

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GRF: New Approaches for Reliability Analysis of Industrial Systems Subject to Multivariate Degradation

GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components

Cite this

Dynamic probability-density-dependent event-triggered L_∞ LFC for power systems subject to stochastic delays