Sampled Memory-Event-Triggered Fuzzy Load Frequency Control for Wind Power Systems Subject to Outliers and Transmission Delays

• Published in: IEEE transactions on cybernetics Vol. 53; no. 6; pp. 4043 - 4053
• Main Authors: Yan, Shen, Gu, Zhou, Park, Ju H., Xie, Xiangpeng
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.06.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control systems design; Delay; Delays; Electrical loads; Error signals; Frequency control; Fuzzy control; Load frequency control (LFC); measurement outliers; Outliers (statistics); Power measurement; Power system stability; sampled memory-event-triggered control; Stability analysis; Time-varying systems; Wind power; Wind power generation; wind power systems (WPSs); Wind turbines
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2022.3224386

This study is devoted to event-triggered fuzzy load frequency control (LFC) for wind power systems (WPSs) with measurement outliers and transmission delays. Due to the integration of wind turbine (WT) with nonlinearity, the T-S fuzzy model of WPS is established for stability analysis and controller design. To mitigate the network burden, a new sampled memory-event-triggered mechanism (SMETM) related to historical system information is presented. It has the following two merits: 1) the utilization of continuous memory outputs over a given interval is useful to reduce the information loss in the period of samples and the redundant triggering events induced by disturbances and noises and 2) an extra upper constraint is added in the triggering condition to generate a new event only when the error signal belongs to a bounded range, thus, the false events caused by measurement outliers can be differentiated out and then be dropped. By representing the memory signal with transmission delay as a time-varying distributed delay term, a T-S fuzzy time-varying distributed delay system is built up to model the <inline-formula> <tex-math notation="LaTeX">H_{\infty } </tex-math></inline-formula> LFC WPS. With the help of the Lyapunov method and the integral inequality relying on distributed delay, some criteria are derived to solve the triggering matrix and fuzzy controllers. Finally, the merits of the proposed SMETM are tested by simulation results.