Day-Ahead Energy Scheduling of a Microgrid Considering Load Shifting Strategies in the Presence of Batteries and DGs

In modern microgrids, managing energy is a challenging task due to a wide range of uncertainties and various problem-solving approaches. This paper introduces a day-ahead energy scheduling model that considers load shifting within a microgrid. In this model, distributed generation resources offer energy price bids for sale. The simulated grid also includes energy storage batteries that can be used by the operator to manage energy in the day-ahead scheduling. Additionally, the model allows for load shifting by industrial consumers, aiming to minimize the operator’s energy purchase costs. The uncertainty of photovoltaic generation is incorporated into the scheduling as different scenarios and modeled as a Mixed-Integer Linear Programming (MILP) stochastic program using GAMS software for a sample network. Simulation results show that the microgrid operator can minimize operating costs with this scheduling model while taking into account the uncertainty related to day-ahead photovoltaic generation.