A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort

With an increase in electrification trends, the energy consumption of households is expected to increase significantly in the near future. To reduce electricity bills in the electrified era, management of the demand side is inevitable. Different demand response programs, such as real-time pricing ca...

Full description

Bibliographic Details
Main Authors: Almutairi, Abdulaziz, Albagami, Naif, Almesned, Sultanh, Alrumayh, Omar, Malik, Hasmat
Format: Article
Published: Elsevier Ltd 2023
Subjects:
_version_ 1811132478780342272
author Almutairi, Abdulaziz
Albagami, Naif
Almesned, Sultanh
Alrumayh, Omar
Malik, Hasmat
author_facet Almutairi, Abdulaziz
Albagami, Naif
Almesned, Sultanh
Alrumayh, Omar
Malik, Hasmat
author_sort Almutairi, Abdulaziz
collection ePrints
description With an increase in electrification trends, the energy consumption of households is expected to increase significantly in the near future. To reduce electricity bills in the electrified era, management of the demand side is inevitable. Different demand response programs, such as real-time pricing can be introduced from the grid side. The consumption side needs to adjust its consumption patterns in accordance with the price signals. Therefore, an innovative home appliance scheduling method is proposed considering the rooftop solar panels as part of energy suppliers. First, an optimization problem is formulated considering different objectives such as energy price, consumer satisfaction, and peak-to-average load ratio. Then, home appliances are divided into three major categories (shiftable, flexible, and normally operated) to adjust schedules of different load types. Then, the developed model is solved using the bald eagle search optimization algorithm (BESOA). Finally, the performance of the proposed BESOA-based method is compared with other well-known heuristic/meta-heuristic methods. In addition, an analysis of different equipment's maximal operation time is conducted for all the methods. In order to provide feedback on user comfort levels, digital twin technology is used allowing the user to adjust the scheduling of the appliances to ensure that they are comfortable. By leveraging digital twin technology, users would be able to optimize the scheduling of their rooftop solar home appliances to maximize efficiency and minimize costs. Simulation results have shown the superiority of the BESOA method over other methods in terms of daily average energy cost, peak-to-average load ratio, and consumer satisfaction.
first_indexed 2024-09-24T00:04:51Z
format Article
id utm.eprints-107133
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-09-24T00:04:51Z
publishDate 2023
publisher Elsevier Ltd
record_format dspace
spelling utm.eprints-1071332024-08-28T07:08:42Z http://eprints.utm.my/107133/ A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort Almutairi, Abdulaziz Albagami, Naif Almesned, Sultanh Alrumayh, Omar Malik, Hasmat TK Electrical engineering. Electronics Nuclear engineering With an increase in electrification trends, the energy consumption of households is expected to increase significantly in the near future. To reduce electricity bills in the electrified era, management of the demand side is inevitable. Different demand response programs, such as real-time pricing can be introduced from the grid side. The consumption side needs to adjust its consumption patterns in accordance with the price signals. Therefore, an innovative home appliance scheduling method is proposed considering the rooftop solar panels as part of energy suppliers. First, an optimization problem is formulated considering different objectives such as energy price, consumer satisfaction, and peak-to-average load ratio. Then, home appliances are divided into three major categories (shiftable, flexible, and normally operated) to adjust schedules of different load types. Then, the developed model is solved using the bald eagle search optimization algorithm (BESOA). Finally, the performance of the proposed BESOA-based method is compared with other well-known heuristic/meta-heuristic methods. In addition, an analysis of different equipment's maximal operation time is conducted for all the methods. In order to provide feedback on user comfort levels, digital twin technology is used allowing the user to adjust the scheduling of the appliances to ensure that they are comfortable. By leveraging digital twin technology, users would be able to optimize the scheduling of their rooftop solar home appliances to maximize efficiency and minimize costs. Simulation results have shown the superiority of the BESOA method over other methods in terms of daily average energy cost, peak-to-average load ratio, and consumer satisfaction. Elsevier Ltd 2023-09-15 Article PeerReviewed Almutairi, Abdulaziz and Albagami, Naif and Almesned, Sultanh and Alrumayh, Omar and Malik, Hasmat (2023) A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort. Solar Energy, 262 (NA). NA. ISSN 0038-092X http://dx.doi.org/10.1016/j.solener.2023.111876 DOI:10.1016/j.solener.2023.111876
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Almutairi, Abdulaziz
Albagami, Naif
Almesned, Sultanh
Alrumayh, Omar
Malik, Hasmat
A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title_full A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title_fullStr A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title_full_unstemmed A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title_short A novel optimal framework for scheduling rooftop solar home appliances considering electricity, real pricing and user comfort
title_sort novel optimal framework for scheduling rooftop solar home appliances considering electricity real pricing and user comfort
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT almutairiabdulaziz anoveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT albagaminaif anoveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT almesnedsultanh anoveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT alrumayhomar anoveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT malikhasmat anoveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT almutairiabdulaziz noveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT albagaminaif noveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT almesnedsultanh noveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT alrumayhomar noveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort
AT malikhasmat noveloptimalframeworkforschedulingrooftopsolarhomeappliancesconsideringelectricityrealpricingandusercomfort