چكيده به لاتين
Recently, due to the increased penetration level of active components including Distributed Energy Resources (DERs) and remotely controlled switches in smart distribution systems, the operational scheduling of the distribution systems have been changed significantly. In the traditional structure of power systems, electrical loads are fed by the traditional power plants, demand side are not active, and networks are not reconfigurable in short-term periods. Thus, the future smart distribution systems should able to consider demand side management, energy storage systems, uncertainties, and reconfigurable network topology during short-term operational scheduling.
In this thesis, optimal operational scheduling problem of DERs in smart distribution systems considering hourly reconfiguration has been studied. To this end, related models to develop interactions between Distribution System Operator (DSO) and aggregated operation of DERs from two different aspects has been considered. From the first aspect, DSO interact with private owners of DERs through bilateral contracts with the goal of DSO’s total cost minimization. In order to solve this problem, two different algorithms including particle swarm optimization algorithm (as a Meta heuristic method) and mixed integer linear programing (as a classic linear programing) has been utilized. On the other hand, in the second aspect the ownership of DERs are assigned to network Microgrids (MGs). In this framework, the problem has been considered as two levels, i.e., DSO and networked MGs, where the upper-level player minimizes the DSO’s total cost and the lower-level players maximize the profit of MG owners. Besides, to establish a retail market between MGs and retailers, a bi-level problem has been proposed in the lower-level of the main problem. By two-times implementation of Karush-Kahn-Tucker conditions, the proposed bi-level optimization problem has been transformed into a single-level optimization problem.
