Robust Distributed Optimal Energy Management for Multi-Energy Networked Microgrids

This paper investigates the day-ahead optimal energy management issue of networked microgrids with the consideration of multi-energy within each microgrid. Uncertainty, a ubiquitous and challenging problem in the high penetrated renewable energy system, is considered in the microgrid system. Also, the security constraints of the energy transmission between microgrids are introduced. The objective of the networked microgrids is to maximize the day-ahead social welfare by cooperating with each other. To this end, the problem is formulated as a class of robust distributed coupled optimization problem. Following, an affinely adjustable-based robust distributed optimization method with event-triggered communication is proposed to address this issue. With the effort, each microgrid can determine its owing optimal operations through only local communication and computation, resulting in enhanced system reliability, scalability, and privacy, and as well as reduced communication. Simulations are provided to verify the effectiveness of the proposed method.