Abstract
In this paper, we present a cooperatice distributed energy management scheme over energy networks. We first list local objective functions distributed over the network and then formulate the global objective function to be minimized by collecting the local functions. Then, we present an energy management algorithm achieving the total optimization in a cooperative and distributed fashion based on receding horizon control and multi-agent optimization techniques. We finally demonstrate its effectiveness through simulation.
