Web-based Smart-grid Energy Management System
Haesung Tak, Da-Young Lee, Hee‐Je Kim, Hwan-Gue Cho · 2019
With the development of the IoT, researches for collecting information based on sensor information attached to smart grid facilities and researches for predicting measurement values of equipment are being conducted. In this paper, we propose a system that can identify abnormal situation of past and present data by analyzing sensor data generated from photovoltaic equipment in smart grid. For this purpose, we designed and constructed module for collecting sensor data attached to solar module and module for collecting weather data. We describe the conversion process of the raw sensor data and the database accumulation method in the proposed system. In addition, we describe an analysis module for detecting an error situation of facility data. The results of the data configuration and abnormal situation are presented by using the web page as an example to monitor the previous details and real-time situation.