Day-ahead distributed energy resource scheduling using differential search algorithm

The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.