Intelligent Event-Triggered H <sub>∞</sub> Load Frequency Control for Power Systems With Multiple-Resource Delays

This paper considers intelligent event-triggered <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${H}_{\infty }$ </tex-math></inline-formula> Load Frequency Control (LFC) for a new kind of multi-area power system. Firstly, delay factors are introduced into the prime mover, engine, and energy storage unit, i.e, multiple-resource delays, and the impact of these delays on the dynamic behavior of system is discussed for the first time, making the model more realistic and accurate. Secondly, a new lemma is proposed, which introduces free variables, extending to the scenarios with time delays. Combining this lemma with the event-triggered mechanism, the control scheme is designed, which is featured by two characteristics. On the one hand, in the Lyapunov functional, looped terms on neighbor triggering instants are considered, reduce the conservatism of the obtained criteria by capturing the information of triggered instants. Meanwhile, a mandatory triggering mechanism is introduced to break the possible dead loop caused by long-term no-triggering. On the other hand, a genetic algorithm (GA) is employed to optimize the parameters of the trigger threshold, encouraging efficient control within the context of LFC and delays. The effectiveness of the proposed approach is confirmed by a typical numerical example with four case studies.

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Institutions

Publication Details

Journal
IEEE Transactions on Circuits and Systems I Regular Papers
Published
2024-10-25
DOI
https://doi.org/10.1109/tcsi.2024.3483553
Citations
5
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
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article

Intelligent Event-Triggered H ∞ Load Frequency Control for Power Systems With Multiple-Resource Delays

Kaibo Shi, Ju H. Park, Ruimei Zhang, Jun Cheng et al.
5 citations
IEEE Transactions on Circuits and Systems I Regular Papers
Frequency Control in Power Systems
1.04
article

Intelligent Event-Triggered H ∞ Load Frequency Control for Power Systems With Multiple-Resource Delays

Kaibo Shi, Ju H. Park, Ruimei Zhang, Jun Cheng, J. S. Luo, Lijuan Chen, Song Tang
article en
5 citations

Abstract

This paper considers intelligent event-triggered <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${H}_{\infty }$ </tex-math></inline-formula> Load Frequency Control (LFC) for a new kind of multi-area power system. Firstly, delay factors are introduced into the prime mover, engine, and energy storage unit, i.e, multiple-resource delays, and the impact of these delays on the dynamic behavior of system is discussed for the first time, making the model more realistic and accurate. Secondly, a new lemma is proposed, which introduces free variables, extending to the scenarios with time delays. Combining this lemma with the event-triggered mechanism, the control scheme is designed, which is featured by two characteristics. On the one hand, in the Lyapunov functional, looped terms on neighbor triggering instants are considered, reduce the conservatism of the obtained criteria by capturing the information of triggered instants. Meanwhile, a mandatory triggering mechanism is introduced to break the possible dead loop caused by long-term no-triggering. On the other hand, a genetic algorithm (GA) is employed to optimize the parameters of the trigger threshold, encouraging efficient control within the context of LFC and delays. The effectiveness of the proposed approach is confirmed by a typical numerical example with four case studies.

IEEE Transactions on Circuits and Systems I Regular PapersVol. 72(7)
University of Shanghai for Science and Technology (CN), Sichuan University (CN), Guangxi Normal University (CN), Chengdu University (CN), Shanghai Dianji University (CN), Yeungnam University (KR), Southwest Minzu University (CN)
National Natural Science Foundation of China, Shanghai Aerospace Science and Technology Innovation Foundation
Openalex Percentile: Top 23%
Frequency Control in Power Systems
1.04
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