Dual-Stage Optimal Scheduling for a Grid-Connected Microgrid

Abstract

A dual-stage day-ahead and real-time multi-energy cooperative optimization scheduling scheme is proposed for a grid-connected microgrid including photovoltaic (PV), battery storage (BS), and gas turbine (GT). In the day-ahead stage, the economic optimization is the aim.Based on the relative level of the tiered electricity prices, charge and discharge depreciation cost of BS, power generation cost of GT, day-ahead optimization strategy is proposed and the power allocations of PV, BS, GT, and GRID is formulated. Day-ahead panned interconnection power between the microgrid and main grid is passed to real-time scheduling stage as the constraint. In the realtime stage, the minimization of the operation costs at each dispatching period (15 mins) is taken as the objective. Real-time optimization strategy is proposed to modify the power allocations scheduled in the day-ahead stage. Results prove that the proposed dual-stage optimization of the scheduling has advantages in improving the operation economy of the microgrid.