High Resolution Bottom-up Residential Electrical Model For Distribution Networks Planning

Abstract

This paper proposes a bottom-up residential electrical model to predict the electric load profile on a regional scale under different scenarios of evolution. The model, which simulates occupant behavior diversity, aims to support research in a wide range of fields, including demand-side management, load shifting and the impact of rate signals. The proposed methodology was applied to 962 electrically heated homes of electric utility customers located in Quebec (Canada). Preliminary results show limited gaps between aggregated simulated load profiles and measured ones, giving confidence to extend the development of this kind of model to distribution networks planning.