Real-time Clustering and Visualization of Customers’ Load Consumption in Electrical Distribution Networks

Recognizing and visualizing customers’ electricity consumption behaviors plays a vital role in enhancing the reliability and efficiency of distribution networks. This paper presents a clustering and visualization platform in real-time and shows the level of consumption using simple visualization means. Based on the level of consumption at each feeder, the tool changes the color to indicate Low, Medium, or High consumption. The platform was applied to a clustering algorithm that was applied to the IEEE 33 Bus test feeder considering Golden, CO, USA. Such a platform will help network operator to improve distribution planning, demand response, market segmentation and management, and energy efficiency.