Dynamic probability-density-dependent event-triggered \mathcal LFC for power systems subject to stochastic delays
The dynamic event-triggered <inline-formula><tex-math notation="LaTeX">\mathcal {L}_{\infty }</tex-math></inline-formula> load frequency control (LFC) problem is investigated for power systems subject to stochastic transmission delays and disturbances. To fully use...
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Published in | IEEE transactions on network science and engineering Vol. 11; no. 1; pp. 1 - 9 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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IEEE
01.01.2024
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ISSN | 2327-4697 2334-329X |
DOI | 10.1109/TNSE.2023.3300876 |
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Abstract | The dynamic event-triggered <inline-formula><tex-math notation="LaTeX">\mathcal {L}_{\infty }</tex-math></inline-formula> 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. |
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AbstractList | The dynamic event-triggered <inline-formula><tex-math notation="LaTeX">\mathcal {L}_{\infty }</tex-math></inline-formula> 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. |
Author | Zhang, Aibo Xie, Min Wu, Zhiying Li, Yuman Xiong, Junlin Yu, Tao |
Author_xml | – sequence: 1 givenname: Zhiying orcidid: 0000-0001-8023-4357 surname: Wu fullname: Wu, Zhiying organization: Centre for Artificial Intelligence & Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong – sequence: 2 givenname: Aibo orcidid: 0000-0002-1253-2579 surname: Zhang fullname: Zhang, Aibo organization: Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong – sequence: 3 givenname: Tao orcidid: 0000-0003-1151-2717 surname: Yu fullname: Yu, Tao organization: School of Artificial Intelligence, Anhui University, Hefei, China – sequence: 4 givenname: Yuman orcidid: 0000-0002-6270-3129 surname: Li fullname: Li, Yuman organization: Department of Mechanical Engineering, University of Hong Kong, Pokfulam, Hong Kong – sequence: 5 givenname: Junlin orcidid: 0000-0002-0128-4960 surname: Xiong fullname: Xiong, Junlin organization: Department of Automation, University of Science and Technology of China, Hefei, China – sequence: 6 givenname: Min orcidid: 0000-0002-8500-8364 surname: Xie fullname: Xie, Min organization: Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong |
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SubjectTerms | Costs Delays Distributed delay dynamic event-triggered scheme Generators Power system dynamics Power system stability power systems Stochastic processes stochastic transmission delays Sufficient conditions |
Title | Dynamic probability-density-dependent event-triggered \mathcal LFC for power systems subject to stochastic delays |
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