Adaptive control improves stability and performance in renewable energy power systems, indicating better utilization of resources under delays.
This study centrally investigates the resolution of event‐triggered control problem in renewable energy network power systems, especially in the context of time delays. First, an adaptive event‐triggered strategy (AETS) is presented. The strategy aims to optimize utilization of a limited communication network. Second, to minimize the trigger rate while maintaining optimal control performance, the used error signal is the difference between the recently transmitted packet and the average of the current sampled packet and the recently transmitted packet. Then, the stability analysis of power systems is formulated through the employment of the Lyapunov–Krasovskii functional (LKF). Utilizing the matrix decoupling technique, a criterion is developed to simultaneously compute both the trigger matrix and the controller gain. Finally, two simulation examples confirm the efficacy and superiority of the presented strategy.
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Zhi et al. (2025) studied this question.
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