Application of Real-Time Distribution Grid Monitoring for Grid Forecasting and Control Considering Incomplete Information of Resources Behind-the-Meter

This paper presents a rolling horizon optimal energy management mechanism using real-time grid monitoring data. The proposed includes novel approaches in terms of data processing, net-load forecasting, and scheduling battery storage systems. processing forecasting techniques use fast training computationally efficient methods based on parameter are auto-regressive with exogenous variables (ARX). Two sets features including similar values previous hours, days, weeks as well calendar effects used for the forecast model. Furthermore, impact additional non-synchronized weather adopted from meteorology databases forecasts’ accuracy is discussed. Finally, to optimize systems (BESS), maximizing self-consumption at community levels. application measurement algorithm allows handling impacts loads generators behind meter without having their detailed information. developed method being effectively real low voltage distribution Switzerland.