LAUSR

Abstract Energy internet network is an energy supply and demand system which based on the power grid, that can make a variety of energy interoperability, allowing all constituent elements to exchange information and interaction. However, any anomaly/failure in a part of the network can quickly spread over the network and lead to new unpredicted failures. Hence, timely cyber-attacks detection and mitigation is crucial. In this study, for timely detection, 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 nodes over EI network. To enhance the security, consensus control approach can provide fault tolerance and timely attack mitigation and further recovery, thereby providing the EI with strong security in distributed. In this paper, therefore, a distributed Kalman filter with consensus control approach for multiagent systems (MAS) was proposed to investigate the energy internet recovered with links failure by cyber-attacks. The proposed algorithm is verified in the energy internet through a MAS model using MATLAB software.