Distributed aperiodic sampled‐data implement for dual objective control of energy storage systems

Abstract

This article solves the dual objective control problem for an energy storage system by distributed aperiodic sampled‐data controller under both connected static network and jointly‐connected switching network. The proposed sample‐and‐hold controller is composed of the leaderless consensus algorithm, which aims at state‐of‐energy balancing, and the leader‐following distributed observer, which aims at reference power tracking. By resorting to the generalized Krasovskii‐LaSalle theorem, it is proven that the closed‐loop system is uniformly exponentially stable using the so‐called limiting solution. There are two distinguished features of the proposed control scheme. First, the designs of the leaderless consensus algorithm and the leader‐following distributed observer can be accomplished independently. Second, the effectiveness of the control law can be guaranteed by properly tuning the feedback gains even for some extreme cases of drastic changes on sensing and sampling. Comprehensive simulation results are shown to examine the performance of the proposed control implement.