Computational modeling demonstrates exact optimal power dispatch in attacked smart grids, suggesting robust stability against coordinated cyberattacks.
Key Points
To formulate a fully distributed economic dispatch algorithm for smart grids that preserves optimal generation and demand balance despite malicious attacks on communication nodes.
Formulated a fully distributed protocol over directed network topologies where each node communicates solely with direct in-neighbors.
Engineered mechanisms to identify misbehaving agents and reconstruct the original local power demands of intact nodes.
Simulated adversarial scenarios involving collaborating neighbors and high corruption rates on standard IEEE test systems.
The algorithm consistently attained the exact theoretical optimal power dispatch among all uncompromised agents.
Exact power balancing and malicious agent identification succeeded even when nearly half of the network nodes operated as coordinated adversaries.