Predictive smart grid re-structuring based on expected load and power generation

Abstract

A method for structuring an electric utility grid having traditional and renewable sources of electric power uses a weather forecasting system to determine, for a time interval, whether there are paths between all generating units and all consuming units satisfying certain constraints. The method includes computing a probable output for each of the generating units, both traditional and renewable, and computing a probable load for each of said consuming units for the time interval using both historical and weather forecast data. The method also includes determining the maximum load capacity of each segment in the utility grid for the time interval, the segments being the power lines making up the grid, and assigning the maximum load capacity of each segment to be a constraint therefor for the time interval and computing whether there are paths from each of the generating units to each of the consuming units for which the maximum load capacities will not be exceeded. If such paths exist, the method further concludes with setting the utility grid to the paths; and transmitting electric power over the paths for the time interval. If such paths do not exist from each generating unit to each consuming unit, the method instead continues by reducing the maximum capacities of the generating units; and recomputing whether there are paths from each of the generating units to each of the consuming units as many times as is necessary to find paths satisfying the constraints, each time further reducing the maximum capacities of the generating units.