Use of Data Analytics in Microgrids: A Survey of Techniques

Enabling electrical energy for geographically remote areas using renewable energy replacing the use of diesel fuel eliminating CO2 emissions is a key research focus, that the world is interested in. In recent years, the penetration of renewable resources in distribution networks has increased that it has led to a deployment of Distributed Generation (DG) at this level. The concept of microgrids popularized as it gave a solution in controlling the DGs by ensuring the network stability. A Microgrid is a small-scale distribution grid with DGs which provides electricity even during a grid failure by energy storages and load dispatch techniques. Even though they can be reliable, they pose significant challenges in maintaining the network stability and meeting economical demand. With the increase of metering devices at microgrids and the improvement of data analysis has paved the way for mitigating some of these challenges in microgrids. This paper presents a survey on data analytics techniques used in microgrids for improving the reliability and efficiency of power supply to the consumers and future trends.