In this paper, a new distributed multi-agent framework based on the three layers’ fog computing architecture is developed for real-time microgrid economic dispatch and monitoring. To this end, the changes of load at any time will be tracked by the proposed technique, considering unit sudden exits and entries. Moreover, to make the system more realistic, different renewable energies, including photovoltaics (PVs), wind turbines (WTs), fuel cells (FCs), and microturbines (MT) are considered in the proposed technique. To overcome the complexity of the problem, by using advantages of fog computing, a new fast consensus-based optimization algorithm is used, which is modified based on the fuzzy adaptive leader technique. Finally, the proposed technique is simulated and tested on microgrids with 6 and 14 buses, respectively. Simulation results demonstrate and validate the effectiveness of the proposed technique, as well as the capability to track the changes of load with the interactions in real-time and the fast convergence rate.

本文基于三层雾计算架构，开发了一种新的分布式多主体框架，用于实时微电网经济调度和监控。为此，考虑到单位的突然退出和进入，所提出的技术将随时跟踪负载的变化。此外，为使系统更加逼真，在提议的技术中考虑了不同的可再生能源，包括光伏（PVs），风力涡轮机（WTs），燃料电池（FCs）和微型涡轮机（MT）。为了克服问题的复杂性，利用雾计算的优势，使用了一种新的基于快速共识的优化算法，该算法在模糊自适应领导技术的基础上进行了改进。最终，在分别具有6条和14条总线的微电网上对所提出的技术进行了仿真和测试。