Optimal scheduling of electrical appliances and der units for home energy management system
Author(s)
Nizami, MSH
Hossain, J
Griffith University Author(s)
Year published
2017
Metadata
Show full item recordAbstract
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 ...
View more >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.
View less >
View more >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.
View less >
Conference Title
2017 Australasian Universities Power Engineering Conference, AUPEC 2017
Volume
2017-November
Subject
Electrical engineering
Electronics, sensors and digital hardware