A multi-vision energy management strategy for smart grids using hierarchical distributed Model Predictive Control

This paper introduces a proposed architecture of energy management strategy for smart grids which have high renewable energy penetration. The proposed strategy is based on a hierarchal distributed model predictive control to allocate computational optimization tasks of the entire smart grid to hierarchal layers with multi-vision time-frames. The suggested strategy layers have three layers. The upper layer performs supervision management role for the entire grid. The medium layer organizes coordination management role for divided power system areas. In the lower layers, the control agent regulates the zonal physical sub-system in each area. The developed strategy helps to increase the high share of variable renewable sources with optimal performance.