Distributed Privacy-Preserving Economic Dispatch of Isolated Microgrid Based on Event-Triggered Mechanism
提出一种分布式隐私保护经济调度算法，利用同态加密保护数据隐私，并通过事件触发机制降低计算和通信开销，适用于资源受限的孤立微电网。
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.