Coordinated Optimal Power Dispatch Incorporating the Scheduling of Distributed Energy Resources Under the Virtual Power Plant Concept

In this paper, a method is proposed for coordinated optimal power dispatch (OPD) incorporating the scheduling of distributed energy resources (DERs (COPD-IDS). The proposed COPD-IDS aims to minimize the total daily operating cost of a power system by considering the optimal scheduling of DERs. In the problem formulation, the DERs are considered dispatchable limited energy units and treated as a virtual power plant (VPP). The OPD is solved for total hourly cost minimization, using quadratic programming (QP) as a subproblem in COPDIDS. Meanwhile, the total daily operating cost minimization incorporating the scheduling of DERs is solved by particle swarm optimization (PSO) and compared to a genetic algorithm (GA). The proposed COPD-IDS is tested on the modified IEEE 30-bus system under a practical load and the daily profiles of DERs. The simulation results show that the proposed method can minimize the total daily operational cost of the electricity system with the dispatchable condition of DERs using the VPP concept.