Entropy theory based weather risk source quantified model for power grid dispatching

Weather is one of the main risk factor in power grid dispatching operation and this paper studies how to identify and establish a model of weather risk sources during power system dispatching operation for smart grid. A qualified weather risk sources model, which can comprehensively reflect temperature, wind speed, visibility, rainfall, relative humidity, thunder and lightning harm degree these six meteorological factors, is established; information entropy theory has been introduced to weigh the comprehensive impact of these six meteorological factors in real-time objectively and quantitatively; linear penalty function has been used in amending meteorological entropy value to define comprehensive meteorological factors, which can quantify the influence weather risk sources have on dispatching operation. Finally, the model´s validity is verified based on the practical calculation of Guangzhou City, the result showing the model can reflect the actual weather situation of the devices in the being operated area and accurately assess the potential risk which multiple meteorological factors have on power grid dispatching operation. Through the joint between the model and numerical weather prediction, automation level of risk sources identification in power grid dispatching operation is enhanced greatly. So far, the model has been put in use in Guangdong Power Grid.