Privacy-Preserving Economic Dispatch for Microgrids With a Distributed Event-Triggered Communication Scheme

This paper proposes a distributed algorithm to solve the economic dispatch problem (EDP) in microgrids based on an event-triggered mechanism with consideration of the privacy-preserving. To protect the privacy of participants in microgrids, each agent only needs to broadcast one local state by the well-designed algorithm. And a random noise is added based on the differential privacy to improve the privacy preservation further. Besides, the distributed algorithm is implemented by an event-triggered mechanism to reduce the consumption of communication resources and enhance the efficiency of algorithm execution. The simulations demonstrate the effectiveness of the proposed distributed algorithm. Compared to the continuous-time communication, the event-triggered mechanism can obtain the same convergence speed, but only consumes 30% communication resources. Statistical analysis shows that this method can protect privacy by introducing random noise.