Forecasting Methods on PV System Outputs for Microgrid Operation

다국어 초록 (Multilingual Abstract)

In view of the shift to renewable energy sources, several entities are investing in solar photovoltaic (PV) sources, energy storage systems (ESS), and energy management systems (EMS) to minimize operation costs. Several published works have proven that optimal ESS scheduling will help minimize the costs incurred. To do that, effective PV forecasting methods should be used. This paper explored different data driven PV forecasting methods so that it can be applied to Seoul National University of Science and Technology’s (SeoulTech) locally implemented microgrid. The objective is to forecast the PV profiles of the local microgrid so that depending on the forecast horizon and purpose, whether day-ahead market participation, short-term response, or system protection, it can schedule the PV and ESS effectively.