Smart meter reference load profiles and peak demand models

Carroll, Paula; Silva, Fábio; Tahir, Farah; O'Regan, Brian; Lyons, Pádraig

Smart meter reference load profiles and peak demand models

Files

PC__ISC_2024___Smart_Meter_Reference_Load_Profiles_and_Peak_Demand_Models.pdf(963.25 KB)

Accepted version

Date

2024-06

Authors

Carroll, Paula

Silva, Fábio

Tahir, Farah

O'Regan, Brian

Lyons, Pádraig

Publisher

Springer

Abstract

Smart grids are components of future clean energy systems. They create new challenges and opportunities for the efficient and reliable management of the electricity system. The aggregate behaviour of groups of electricity users, such as the magnitude and timing of peak demand are important factors in determining the required capacity of the Low Voltage (LV) distribution network in the context of a transition to low carbon heat and transport. In this paper we use smart meter data from consumer behaviour trials in Ireland to create Reference Load Profiles (RLPs), and to model peak residential electricity demand. We find differences in the peak demand and profile by day type, and that Burr, and Weibull models are useful to estimate peak demand. Keywords:

Keywords

Reference load profile , Smart grid , Peak demand model

Citation

Carroll, P., Silva, F. Tahir, F., O’Regan, B. and Lyons, P. (2024) ‘Smart Meter Reference Load Profiles and Peak Demand Models’, Decision Science Alliance, DSA ISC International Summer Conference 2024 (ISC 24), Valencia, Spain, 6-7 June. LCNS: Forthcoming publication.