Distributed cooperative control for multiple photovoltaic generators in distribution power system under event-triggered mechanism

Finite‐time stability of non‐linear systems with impulsive effects due to logic choice

“…(3) Remark 1: Ω i is a set and acts as a threshold, i = 1, 2, …, n. System (1) goes due to logic choice at the moments of impulsive effects. There are many similar systems, such as event-triggered mechanism [32], flip perturbation [33] and piecewise affine systems [34]. Remark 2: We note that when Ω i = {u: | u | ≥ c i }, this system can be degraded into the model established in [31].…”

Distributed adaptive event-triggered iterative learning controller based on a filtering network

“…A distributed control system is constructed by multiple controllers, and each controller calculates the control size of the system separately, which is more robust and stable. At present, research on distributed control has achieved many results (Huang et al, 2020; Weng et al, 2016; Xu et al, 2017; Zhou et al, 2020; Zierhut et al, 2020). For instance, Weng et al (2016) have proposed a distributed event-triggered cooperative control strategy for multiple PV generators in a distributed power system, which solves the problem of limited communication network bandwidth in practical applications.…”

“…At present, research on distributed control has achieved many results (Huang et al, 2020; Weng et al, 2016; Xu et al, 2017; Zhou et al, 2020; Zierhut et al, 2020). For instance, Weng et al (2016) have proposed a distributed event-triggered cooperative control strategy for multiple PV generators in a distributed power system, which solves the problem of limited communication network bandwidth in practical applications. In the work of Xu et al (2017), the adaptive observer-based tracking problem has been studied for a class of multi-agent system, which takes into account the uncertainty of multi-agent system dynamics.…”

Distributed event-triggered mechanism for secondary voltage control with microgrids

“…Conventional secondary control relies on a microgrid centralized control centre which requires complex communication networks. However, due to the fact that a vast range of DGs are widely dispersed geographically, it calls for reliable communication networks and the centralized control scheme may reduce the reliability and stability of the microgrid systems Bidram et al (2014); Weng et al (2016). Compared to a centralized control strategy, distributed control with a sparse communication network is less sensitive to failures and improves the control performance by allowing local controllers to exchange information with their neighbours.…”