Multifactor load modeling for smart grids: An urban area case study

Abstract

Load modeling requires knowledge of all factors affecting load and the investigation of their simultaneous impact on load. In order to model the load it is necessary to have an understanding of the factors that affect it simultaneously and try to consider a wide range of factors. In this study, we analyzed the simultaneous effects of a wide range of available influence factors on load, made correlations between those considered factors and load, and created multifactor load model for the urban area. In order to conduct it, we have used the following methodology: designed the study (step I), collected the data (step II), processed, systematized, and sorted the data (step III), and statistically analyzed and modelled the load (step IV). The results obtained from the data analysis show the simultaneous impact of the considered factors on load and their importance in the load modeling process. The correlation analysis proved strong connections between the considered factors and load. We have developed a multifactor load model which includes all considered factors in its composition. This model has been validated, thereby confirming that simultaneous factors' impact play an important role in load modeling and justifies and supports their inclusion in this process.