Performance enhancement of online energy scheduling in a radial utility distribution microgrid

•Microgrid online energy management in a DSO-Monopoly market is proposed.•It considers online data of renewable energy, demand and open market price.•It uses stochastic weight tradeoff PSO and backward–forward sweep based OPF.•It utilizes grid power trade and load curtailment to enhance the system performance.•Reduced fuel & emission costs and better network feasibility is assured.

In this paper, an optimal power dispatch formulation is proposed in the operating horizon using real time measurements to enhance the performance of online energy scheduling in microgrid considering renewable energy, grid power trade and demand response. A stochastic weight tradeoff particle swarm optimization (SWT-PSO) based backward–forward sweep (BFS) optimal power flow (OPF) method is used by the microgrid central controller (MGCC) to obtain the online optimal schedules of distributed energy resources (DERs). The effectiveness of the suggested approach is investigated on the residential feeder of the CIGRE LV benchmark microgrid in terms of reduction in fuel & emission costs and voltage deviation. In addition, settling time in overall implementation is drastically reduced. Also, the paper analytically justifies the use of (1) renewable energy sources, grid trade and prioritized load curtailment, (2) SWT-PSO over priority listing method and (3) online OPF over online economic dispatch (ED).