Economic operational Scheduling of a smart distribution network considering demand response, electric vehicles and network reconfiguration

There is an increase in complexity of distribution system operational planning due to the integration of electric vehicles (EVs), responsive loads (RLs), and distributed generation (DG) along with the possibility of distribution network reconfiguration (DNR). This paper presents a comprehensive framework to be incorporated as the central core of distribution management system (DMS) in day-ahead operational scheduling of a smart distribution network (SDN). The optimal operational decisions by system operator (DMS) will be taken by deploying the supplemented active elements including DGs, RLs, EVs, and remotely controlled switches (RCS) incorporated for realizing the DNR. Also, changes in price of power market will be under the surveillance of DMS to wisely schedule the network elements for attaining further cost savings. An unregulated charging pattern is adopted by EVs to realize the vehicle to grid (V2G) notion. A modified IEEE 33-bus test system is considered to numerical validation of the proposed method by considering two different cases which is tackled based on a modified particle swam optimization approach. In this way, the initial scheduling of the network has been done without DNR and subsequently the technical and monetary benefits associated with DNR is proved.