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M. Brandstetter, A. Schirrer, M. Miletic, S. Henein, M. Kozek, F. Kupzog:
"Hierarchical predictive load control in smart grids";
IEEE Transactions on Smart Grid, PP (2015), 99.

In this paper a hierarchical iterative control algorithm
is proposed to optimally balance grid load (both voltage
drop and current load) while meeting consumers power demand.
The proposed control architecture is based on the assumption
that a certain proportion of the consumers can predict their
consumption profile and adapt their control strategies to include
power consumption constraints. It is assumed that a simplified
model of the power grid, and a prediction based on historical data
for the consumption profile of passive consumers are available.
Based on the consumers´ consumption profile predictions, controller
proposes constraints for predictively controlled buildings
(PCBs) at critical times, so that these consumers can adapt their
consumption strategies in advance. The control algorithm also
deals with the case of non-compliant consumers. It has lowcommunication
requirements and consumer information is only
shared with the hierarchical controller. The method is verified
by simulations of an existing power grid with two PCBs. For
this purpose, a grid linearization method and a model predictive
controller for a building are suggested.

grid constraints, iterative algorithm, model predictive control, power load control, smart grid

http://dx.doi.org/10.1109/TSG.2015.2477105