TOU Tariff System Using Data from Smart Meters

Leila Chebbo, Ali M. Bazzi, Ali Yassine, Sami H. Karaki, Nesreene Ghaddar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Recently, electric utilities have been scrutinized worldwide for their environmental impact, depletion of resources, and the consistently rising cost of electricity to customers. All these issues could be reduced if residential customers changed their demand patterns. This research focuses on one of the most common demand-side management programs, which consists of time-of-use (TOU) tariffs. This tariff system has the potential to reduce peak energy demand, which will decrease costs and carbon dioxide emissions from utilities. Also, this system will allow more efficient use of existing electricity generation and network capacity. In this paper, an optimal TOU tariff system is proposed, and its impact is assessed on a dataset of residential users in a town where smart meters are installed. Changes in the electricity demand profile and ability of the electrical supply to support loads with no or minimal load shedding are studied.

Original languageEnglish
Title of host publication2021 IEEE Power and Energy Conference at Illinois, PECI 2021
ISBN (Electronic)9781728186481
DOIs
StatePublished - 1 Apr 2021
Event2021 IEEE Power and Energy Conference at Illinois, PECI 2021 - Urbana, United States
Duration: 1 Apr 20212 Apr 2021

Publication series

Name2021 IEEE Power and Energy Conference at Illinois, PECI 2021

Conference

Conference2021 IEEE Power and Energy Conference at Illinois, PECI 2021
Country/TerritoryUnited States
CityUrbana
Period1/04/212/04/21

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