TY - GEN
T1 - A resilient distributed measurement system for smart grid application
AU - Panzavecchia, Nicola
AU - Cataliotti, Antonio
AU - Cosentino, Valentina
AU - Artale, Giovanni
AU - Caravello, Giuseppe
AU - Di Cara, Dario
AU - Brandauer, Christof
AU - Panzavecchia, Nicola
AU - Tinè, Giovanni
AU - Salsano, Stefano
PY - 2020
Y1 - 2020
N2 - Since the production of energy from renewable energy sources is strongly increasing, the migration from the classical electric grid toward the smart grid is becoming a reality. Distribution System Operators, along with the control of the entire network and its stability, need to address the security and the reliability of the communication channels and the data itself. In this paper a solution is proposed to address these issues. It is based on a distributed measurement system that relies on a wireless network as well as a redundant Power Line communication system in order to transfer the electrical measures to a centralized SCADA server. The collected data are used to run a power flow algorithm in order to give the operator the whole picture of the network energy flow and to suggest specific actions aimed to keep the electricity network stable. An external computational layer has the role to check and validate the data collected using different approaches, in order to avoid that a malicious alteration of data tricks the operator into performing an incorrect action on the electrical network.
AB - Since the production of energy from renewable energy sources is strongly increasing, the migration from the classical electric grid toward the smart grid is becoming a reality. Distribution System Operators, along with the control of the entire network and its stability, need to address the security and the reliability of the communication channels and the data itself. In this paper a solution is proposed to address these issues. It is based on a distributed measurement system that relies on a wireless network as well as a redundant Power Line communication system in order to transfer the electrical measures to a centralized SCADA server. The collected data are used to run a power flow algorithm in order to give the operator the whole picture of the network energy flow and to suggest specific actions aimed to keep the electricity network stable. An external computational layer has the role to check and validate the data collected using different approaches, in order to avoid that a malicious alteration of data tricks the operator into performing an incorrect action on the electrical network.
UR - http://hdl.handle.net/10447/468096
M3 - Conference contribution
SN - 978-3-030-58999-8; 978-3-030-59000-0
T3 - COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE
SP - 139
EP - 153
BT - Communications in Computer and Information Science
ER -