Abstract
Forecasting plays a significant role in microgrid energy management. The energy management function of a typical Microgrid Energy Management System (MEMS) schedules the Distributed Energy Resources (DERs) such as solar PV systems, wind turbines, and energy storage systems using the renewable energy and load forecasts. These schedules must ensure the optimal operation of the microgrid. However, the forecasting errors are a cause of sub-optimal schedules that affect the objectives and goals of the microgrid. Model Predictive Control (MPC) is currently gaining much attention as a method for microgrid energy management. Therefore, this paper investigates the effect of renewable energy forecasting error on MPC-based microgrid energy management. It is shown that the system only slightly deviates from the optimal operation when there are forecasting errors. However, the importance of developing better formulations to quantify the deviation from the optimal operation is highlighted.
Published Version
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