TY - JOUR
T1 - Cyber-Resilient Cooperative Control of DC Microgrid Clusters
AU - Jena, Satabdy
AU - Padhy, Narayana Prasad
AU - Guerrero, Josep M.
N1 - Publisher Copyright:
IEEE
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - In this article, we propose a novel, model-independent, unified detection strategy based on disagreement Laplacian potential for effective identification of cyber anomalies in interconnected autonomous direct current (dc) microgrid (MG) clusters. This interconnection enables inter and intra-microgrid power exchange between them, thereby rendering efficient and maximum utilisation of the distributed energy resources. However, these clusters are vulnerable to cyber intrusion that disrupt the power sharing schemes. As such, we have investigated the effect of false data injections at various vulnerable points, including both voltage and current sensors in primary, and data transmission points in the distributed secondary, local, and global tertiary layers. Simultaneously, a logical evaluation in the form of data-integrity indices are formulated from the outcomes of the proposed detection scheme to provide for their timely mitigation. Ultimately a fault-ride through operation of the converters is achieved instead of alienating the misbehaving component, unlike previously reported works.
AB - In this article, we propose a novel, model-independent, unified detection strategy based on disagreement Laplacian potential for effective identification of cyber anomalies in interconnected autonomous direct current (dc) microgrid (MG) clusters. This interconnection enables inter and intra-microgrid power exchange between them, thereby rendering efficient and maximum utilisation of the distributed energy resources. However, these clusters are vulnerable to cyber intrusion that disrupt the power sharing schemes. As such, we have investigated the effect of false data injections at various vulnerable points, including both voltage and current sensors in primary, and data transmission points in the distributed secondary, local, and global tertiary layers. Simultaneously, a logical evaluation in the form of data-integrity indices are formulated from the outcomes of the proposed detection scheme to provide for their timely mitigation. Ultimately a fault-ride through operation of the converters is achieved instead of alienating the misbehaving component, unlike previously reported works.
KW - Data integrity (DI) index
KW - Decentralized control
KW - hierarchical control
KW - Laplace equations
KW - Mathematical model
KW - Microgrids
KW - mutiagent systems (MAS)
KW - reverse droop
KW - sliding mode control (SMC)
KW - Synchronization
KW - Voltage control
KW - Voltage measurement
UR - http://www.scopus.com/inward/record.url?scp=85103246043&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2021.3059445
DO - 10.1109/JSYST.2021.3059445
M3 - Journal article
AN - SCOPUS:85103246043
SN - 1932-8184
VL - 16
SP - 1996
EP - 2007
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 2
ER -