Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources

TLDR

Renewable resources such as wind and solar are key to microgrids, but their intermittency and variability complicate operations, especially as controllable loads, distributed generators, and storage devices are increasingly integrated. To address the operational challenges associated with these technologies and energy resources, this paper formulates a stochastic problem for microgrid energy scheduling. The proposed formulation minimizes expected operational cost and power losses while accommodating renewable intermittency, and is tested on a modified IEEE 37‑bus test feeder. Simulation results demonstrate the effectiveness and accuracy of the proposed stochastic microgrid energy scheduling model.

Abstract

Renewable energy resources such as wind and solar are an important component of a microgrid. However, the inherent intermittency and variability of such resources complicates microgrid operations. Meanwhile, more controllable loads (e.g., plug-in electric vehicles), distributed generators (e.g., micro gas turbines and diesel generators), and distributed energy storage devices (e.g., battery banks) are being integrated into the microgrid operation. To address the operational challenges associated with these technologies and energy resources, this paper formulates a stochastic problem for microgrid energy scheduling. The proposed problem formulation minimizes the expected operational cost of the microgrid and power losses while accommodating the intermittent nature of renewable energy resources. Case studies are performed on a modified IEEE 37-bus test feeder. The simulation results demonstrate the effectiveness and accuracy of the proposed stochastic microgrid energy scheduling model.