Distributed Optimal Control and Congestion Management in the Universal Smart Energy Framework

This paper studies the supply-demand matching problem in the hierarchical market-based structure of the Universal Smart Energy Framework [12]. A mismatch between the forecasted and the actual load in smart electricity grids can arise due to the intermittent nature of the renewable energy sources. To minimize this deviation, we propose a distributed model predictive controller, in which prosumers equipped with flexible appliances make control decisions based only on local information, also taking the distribution network capacity limitations into account. A small-scale simulation illustrates the feasibilty of the method.