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Article overview
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Secure Distributed Dynamic State Estimation in Wide-Area Smart Grids | | Mehmet Necip Kurt
; Yasin Yilmaz
; Xiaodong Wang
; | | Date: |
19 Feb 2019 | | Abstract: | Smart grid is a large complex network with a myriad of vulnerabilities,
usually operated in adversarial settings and regulated based on estimated
system states. In this study, we propose a novel highly secure distributed
dynamic state estimation mechanism for wide-area smart grids, composed of
geographically separated subregions, each supervised by a local (control)
center. We firstly propose a distributed state estimator assuming regular
system operation, that achieves near-optimal performance based on the local
Kalman filters and with the exchange of necessary information between local
centers. To enhance the security, we further propose to (i) protect the network
database and the network communication channels against attacks and data
manipulations via a blockchain (BC)-based system design, where the BC operates
on the peer-to-peer network of local centers, (ii) locally detect the
measurement anomalies in real-time to eliminate their effects on the state
estimation process, and (iii) detect misbehaving (hacked/faulty) local centers
in real-time via a distributed trust management scheme over the network. We
provide theoretical guarantees regarding the false alarm rates of the proposed
detection schemes, where the false alarms can be easily controlled. Numerical
studies illustrate that the proposed mechanism offers reliable state estimation
under regular system operation, timely and accurate detection of anomalies, and
good state recovery performance in case of anomalies. | | Source: | arXiv, 1902.7288 | | Services: | Forum | Review | PDF | Favorites | |
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