Intrusion Detection in Distributed Frequency Control of Isolated Microgrids

This paper presents a framework for distributed frequency control and intrusion detection in isolated microgrids (MGs). First, a distributed secondary control for isolated MGs, consisting of the local droop control at the primary level and a distributed node-to-node update at the secondary level, is...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2019-11, Vol.10 (6), p.6502-6515
Main Authors: Lu, Lin-Yu, Liu, Hao Jan, Zhu, Hao, Chu, Chia-Chi
Format: Article
Language:English
Subjects:
Algorithms
Anomalies
Communications networks
cyber-security
distributed droop control
Electric power grids
Frequency control
Intrusion
malicious attack
Microgrid
Microgrids
Nodes
Numerical models
Optimization
partial primal-dual algorithm
Power system stability
Stability analysis
Voltage control
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Summary:This paper presents a framework for distributed frequency control and intrusion detection in isolated microgrids (MGs). First, a distributed secondary control for isolated MGs, consisting of the local droop control at the primary level and a distributed node-to-node update at the secondary level, is proposed for achieving a proportional power sharing while maintaining the nominal system frequency. By casting it as a consensus optimization problem, we adopt the partial primal- dual algorithm for a totally distributed update requiring only neighboring information exchange. Attack models as well as countermeasures for malicious attacks on the communication network are also investigated. Two types of malicious attacks on the communication network, including link and node attacks, are studied. Model-based anomaly detection and localization strategies are developed by exploring the dual variable-related metrics. Numerical experiments have been performed to demonstrate the effectiveness of the proposed control and countermeasure metrics.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2019.2906573