Dynamic probability-density-dependent event-triggered \mathcal LFC for power systems subject to stochastic delays

• Published in: IEEE transactions on network science and engineering Vol. 11; no. 1; pp. 1 - 9
• Main Authors: Wu, Zhiying, Zhang, Aibo, Yu, Tao, Li, Yuman, Xiong, Junlin, Xie, Min
• Format: Journal Article
• Language: English
• Published: IEEE 01.01.2024
• Subjects: Costs; Delays; Distributed delay; dynamic event-triggered scheme; Generators; Power system dynamics; Power system stability; power systems; Stochastic processes; stochastic transmission delays; Sufficient conditions
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2023.3300876

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.