Energy Management Improvement in a PV/Battery Smart-grid by Integration of Solar Resource Forecasting

Abstract

In an Energy Management Systems (EMS), a weather forecasting platform is often incorporated to anticipate meteorological events influencing both the electrical production and consumption and to react accordingly. After a short presentation of solar resources forecasting tools, we focus on short-time horizon using statistical and Artificial Intelligence methods. A validation is realized on Ajaccio, France, the most efficient method is used into an EMS which optimizes the electricity exchanges into a microgrid with photovoltaic/battery energy system supplying a building and an electrical vehicle. The objective of the paper is to show the cost benefit induced by the implementation of the forecasting platform.