Distributed Privacy-Preserving Economic Dispatch of Isolated Microgrid Based on Event-Triggered Mechanism

Abstract

This article introduces a distributed privacy-preserving economic dispatch (ED) algorithm for islanded microgrid (MG), addressing the challenge of balancing power generation and demand with minimal system cost while ensuring data privacy. The proposed algorithm utilizes homomorphic encryption to establish a confidential interaction protocol (CIP), safeguarding sensitive information during the ED process. To mitigate the computational and communication overheads of the CIP, the CIP-compatible static and dynamic event-triggered mechanisms (ETMs) are, respectively, developed, whose implementations only rely on the information obtained through the proposed CIP. The ETMs reduce the frequency of CIP execution and make the algorithm suitable for resource-constrained environments. The convergence and privacy preservation of algorithms are theoretically proved, and the simulation results validate the algorithm’s effectiveness, highlighting its advantages in privacy protection and resource efficiency.