A Tool for Monitoring and Forecasting Rooftop Photovoltaic Generation in Vietnamese Power System Utilizing Satellite Imagery Data

In recent years, distributed energy resources have grown rapidly in Vietnamese Power System, especially the rooftop Photovoltaic sources. The operational characteristics of these sources such as lack of real-time measuring data and controllable capability have caused significant difficulties in operation and management for power system operator at both transmission and distribution level, to maintain the stability and security of the power system. To cope with this situation, the development of an applications aimed to calculate and estimation the potential rooftop PV generation in near real-time, is crucial for operational monitoring and scheduling power systems for Vietnamese power system operator. In this study, an application is implemented for estimating and forecasting active power of rooftop PV systems based on satellite imagery data source. In addition, to increase the forecast accuracy, a feedback mechanism is proposed utilizing Linear Least Squares algorithm. The predicted outcomes indicate the superiority of the proposed procedure compared to the original forecast.