TY - GEN
T1 - TOU Tariff System Using Data from Smart Meters
AU - Chebbo, Leila
AU - Bazzi, Ali M.
AU - Yassine, Ali
AU - Karaki, Sami H.
AU - Ghaddar, Nesreene
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85107564987&partnerID=8YFLogxK
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U2 - 10.1109/PECI51586.2021.9435264
DO - 10.1109/PECI51586.2021.9435264
M3 - Conference contribution
AN - SCOPUS:85107564987
T3 - 2021 IEEE Power and Energy Conference at Illinois, PECI 2021
BT - 2021 IEEE Power and Energy Conference at Illinois, PECI 2021
T2 - 2021 IEEE Power and Energy Conference at Illinois, PECI 2021
Y2 - 1 April 2021 through 2 April 2021
ER -