TY - GEN
T1 - Optimal scheduling of electrical appliances and der units for home energy management system
AU - Nizami, Mohammad Sohrab Hasan
AU - Hossain, Jahangir
PY - 2017
Y1 - 2017
N2 - This paper presents an optimal scheduling model for Demand Response (DR) based Home Energy Management System (HEMS) that schedules residential electrical appliances and Distributed Energy Resource (DER) units for active residential consumers. The scheduling problem is formulated using Mixed-Integer Linear Programing (MILP). The primary objective of the proposed model is to minimize the electricity expenditure of the consumer while maintaining an optimal comfort level. Grid reliability criteria have also been incorporated into the optimization constraints to address the issue of rebound peaks and voltage-level violation in distribution grids which may arise due to large-scale adoption of DR-based HEMS. The proposed HEMS model is simulated and verified with a case study for a typical house, and the simulation showed positive results with up to 18% energy expenditure savings for the consumer.
AB - This paper presents an optimal scheduling model for Demand Response (DR) based Home Energy Management System (HEMS) that schedules residential electrical appliances and Distributed Energy Resource (DER) units for active residential consumers. The scheduling problem is formulated using Mixed-Integer Linear Programing (MILP). The primary objective of the proposed model is to minimize the electricity expenditure of the consumer while maintaining an optimal comfort level. Grid reliability criteria have also been incorporated into the optimization constraints to address the issue of rebound peaks and voltage-level violation in distribution grids which may arise due to large-scale adoption of DR-based HEMS. The proposed HEMS model is simulated and verified with a case study for a typical house, and the simulation showed positive results with up to 18% energy expenditure savings for the consumer.
UR - http://www.scopus.com/inward/record.url?scp=85050928374&partnerID=8YFLogxK
U2 - 10.1109/AUPEC.2017.8282500
DO - 10.1109/AUPEC.2017.8282500
M3 - Conference proceeding contribution
AN - SCOPUS:85050928374
SN - 9781538626481
SP - 1
EP - 6
BT - 2017 Australasian Universities Power Engineering Conference (AUPEC)
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 2017 Australasian Universities Power Engineering Conference, AUPEC 2017
Y2 - 19 November 2017 through 22 November 2017
ER -