Evaluating, Modeling and Predicting of the Differential Consumption Profiles for Residential Customers Subscribed to Dynamic Pricing Tariffs

Abstract

Intermittent renewable energy sources and end-use electrification such as transportation and heating introduce a significant challenge for the reliability of the power grid. In order to deal with this important challenge, utilities put in place different demand-side management mechanism such as demand response programs and dynamic tariffication (DT) to shift electricity consumption outside peak period. To meet new needs and to respond to changes in the energy market, Hydro-Quebec undertakes an important research project, named SCÉNARIO, to simulate the impact of the different customers’ load profiles on the network. Dynamic pricing is one of the components of SCÉNARIO project which aimes to assess the impact of customer behavior on the distribution network during demand management. In this paper, we propose an algorithm for evaluating, modeling and predicting of the differential consumption profiles for residential customers subscribed to dynamic pricing tariffs. These kinds of investigations allow the power system planners to evaluate and predict the impact of the dynamic pricing programs on the power system behavior.