Cooperative Fault-Estimation-Based Event-Triggered Fault-Tolerant Voltage Restoration in Islanded AC Microgrids

容错 断层(地质) 控制理论(社会学) 计算机科学 估计 事件(粒子物理) 工程类 可靠性工程 电压 控制工程 控制(管理) 物理 地质学 人工智能 地震学 电气工程 系统工程 量子力学
作者
Meina Zhai,Qiuye Sun,Bingyu Wang,Zhenwei Liu,Huaguang Zhang
出处
期刊:IEEE Transactions on Automation Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:20 (3): 1829-1837 被引量:23
标识
DOI:10.1109/tase.2022.3186884
摘要

In this paper, the problem of secondary voltage restoration in an islanded microgrid (MG) is considered, in which the actuator of the distributed generators (DGs) may coexist with partial loss of effectiveness (PLOE) fault and bias fault. For each DG, an adaptive event-triggered fault-tolerant (ETFT) control protocol is designed to compensate for the effects of actuator faults in the DGs, thereby restoring the voltage to the reference value. The dependent event triggering mechanism saves the processor's computational resources. A desirable feature of the protocol proposed in this paper is that the control protocol relies only on relative information between neighboring DG's, independent of global information about the network graph, fault boundaries, and network scale. It means that the protocol is implemented in a fully distributed framework. The protocol fully applies to the common ETFT consensus control problem of linear multiagent systems (MASs) with actuator faults. Furthermore, comprehensive theoretical arguments for consensus stability and analysis of Zeno behavior ensure the approach's feasibility. The simulation results verify the effectiveness of the algorithm. Note to Practitioners —This paper aims to propose a fully ETFT control protocol for secondary voltage restoration of an islanded MG. The control protocol consists of a linear term and a nonlinear time that compensates for the multiplicative and additive fault of the actuator. Moreover, DGs' communication structure and global fault boundaries may be unknown in practice. Hence, adaptive coupling gains that depend only on the sampled relative information of DGs are introduced to estimate the controller gain, thus avoiding global information. A feasible strategy is provided for industrial applications.
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