Publication | Open Access
Decentralized multi-chain data management framework for power systems
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Citations
0
References
2019
Year
Blockchain Consensus ProtocolEngineeringInformation SecurityState EstimationDecentralized SecurityConsensus ProtocolByzantine FaultSystems EngineeringInternet Of ThingsData ManagementPower SystemsDecentralised SystemData SecurityCryptographyDecentralized PrivacySmart GridEnergy ManagementCommunication TechnologyBlockchainBlockchain Protocol
With the wide application of advanced information and communication technology (ICT), power systems are becoming more reliable, more efficient and self-healing. Meanwhile more sophisticated cyber-attacks have appeared, e.g. false data injection (FDI) attacks, which deeply affect the state estimation of power systems and can lead to destructive consequences. To better manage and protect measurement data in power systems, we propose a blockchain-based multi-chain framework, taking advantage of the existing infrastructure. In this framework, measurements from sensors are mined into blocks by base stations using Practical Byzantine Fault Tolerance (PBFT) as the consensus protocol. We analyze the security of the proposed framework and carry out simulations to show its superiority compared to existing systems. The result of the simulations further provides guidance for how to structure the networking in the proposed framework.