Contributions to Power Grid System Analysis Based on Clustering Techniques

Abstract

The topic addressed in this article is part of the current concerns of modernizing power systems by promoting and implementing the concept of smart grid(s). The concepts of smart metering, a smart home, and an electric car are developing simultaneously with the idea of a smart city by developing high-performance electrical equipment and systems, telecommunications technologies, and computing and infrastructure based on artificial intelligence algorithms. The article presents contributions regarding the modeling of consumer classification and load profiling in electrical power networks and the efficiency of clustering techniques in their profiling as well as the simulation of the load of medium-voltage/low-voltage network distribution transformers to electricity meters.

Energy cluster analysis based on consumption data in different weather condition

“…The pursuit of this knowledge is, to reveal and create conclusions, which are useful for the energy consumption process [4], [5]. Thus, there are articles aiming to the extraction of knowledge, for example in the energy consumption of buildings [6], for the characterization of electricity customers [7] or for the Analysis to Power Grid System [8]. The production of the electricity from renewable energy sources as wind farms and photovoltaic systems is also appropriate to be study [9,10].…”