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

Abstract

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 memoryevent-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 H ∞ 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.

Synthesis of State/Output Feedback Event-Triggered Controllers for Load Frequency Regulation in Hybrid Wind–Diesel Power Systems

“…By using such a technique, the closed-loop stability is preserved in the presence of sampling while the Zeno behavior is prevented. The structure of the developed ETC mechanism is different from the proposed techniques in [31][32][33][34][35][36][37][38][39].…”

“…Different ETC approaches have been applied to the FLC problem in the literature [31][32][33][34][35][36][37][38][39]. In [31,32], memory-based ETC techniques were designed for the LFC problem for multiarea power systems [31] and T-S fuzzy wind turbine systems [32].…”

“…The stability analysis was carried out in continuous-time using Lyapunov-Krasovskii functions. In [38], new ETC conditions were synthesized based on sampled memory signals of the output feedback for the LFC of power systems. The closed-loop system was described as a T-S fuzzy system with time-varying delay and stability was studied in continuous-time.…”

“…The closed-loop system was described in the discrete-time domain and a uniform ultimate boundedness stability was guaranteed. We should note that all the aforementioned results were either performed in continuous-time [31][32][33][35][36][37][38] or in discrete-time [34,39]. However, SDC systems involve the two dynamical behaviors and, hence, it is more natural to model such systems as a hybrid dynamical system (HDS).…”

Takagi–Sugeno Fuzzy Model-Based Control for Semi-Active Cab Suspension Equipped with an Electromagnetic Damper and an Air Spring

“…Furthermore, we also need to consider that the application of air springs requires us to deal with their nonlinear stiffness. Fortunately, the T-S fuzzy method is a convenient and effective way to deal with nonlinear systems [7], which has applications in wind power systems [8], stochastic network time delay processing [9] and so on.…”