Distributed Finite-Time Observer for Rapid Detection of Multiple Line Outages in Transmission Networks With Uncertain Parameters

IF 4 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Yu Chen;Zhi-Wei Liu;Guanghui Wen;Yan-Wu Wang
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引用次数: 0

Abstract

Fast line outages detection is crucial for the safe operation of power systems. This article proposes a novel algorithm for detecting multiple line outages (MLOs) using a distributed finite-time observer, which overcomes the limitations of existing methods that rely on difficult-to-obtain information, such as rotor inertia and damping ratio. The proposed algorithm relies solely on local measurements and information from neighbors to update each node's local observer. Rigorous mathematical analysis validates that the finite-time observer can converge in finite time, facilitating rapid identification of MLOs. Numerical experiments demonstrate the algorithm's rapidity and scalability.
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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