Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction
The home energy management system (HEMS) can effectively participate in price-based demand response programs, significantly reducing electricity costs by optimizing the usage times of shift-able household appliances such as washing machines, dishwashers, and others. However, this optimizati...
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| Format: | Article |
| Language: | English |
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Faculty of Technical Sciences in Cacak
2025-01-01
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| Series: | Serbian Journal of Electrical Engineering |
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| Online Access: | https://doiserbia.nb.rs/img/doi/1451-4869/2025/1451-48692501017K.pdf |
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| author | Kamyab Gholam-Reza |
| author_facet | Kamyab Gholam-Reza |
| author_sort | Kamyab Gholam-Reza |
| collection | DOAJ |
| description | The home energy management system (HEMS) can effectively participate in
price-based demand response programs, significantly reducing electricity
costs by optimizing the usage times of shift-able household appliances such
as washing machines, dishwashers, and others. However, this optimization may
compromise the comfort of the residents. In this paper, a discomfort index
is proposed based on the time intervals between the start and end of the
operation periods of these shift-able appliances relative to their
residents' preferred usage times. The problem of optimal scheduling for
these appliances is then modeled as an optimization problem aimed at
minimizing the weighted sum of the daily household electricity bill and the
discomfort index. A constraint is imposed to restrict the discomfort index
to a maximum allowable level. This optimization problem is solved using a
simulated annealing algorithm across various scenarios with different
maximum allowable values for the discomfort index. The simulation results
indicate that, among the optimal schedules across the scenarios, the most
cost-effective demand response schedule can be identified based on the
marginal reductions in the daily household electricity bill. This approach
ensures substantial decreases in electricity expenses while avoiding
unnecessary increases in the discomfort index. |
| format | Article |
| id | doaj-art-a1c6750ebd674279ac78aa34c904c593 |
| institution | OA Journals |
| issn | 1451-4869 2217-7183 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Faculty of Technical Sciences in Cacak |
| record_format | Article |
| series | Serbian Journal of Electrical Engineering |
| spelling | doaj-art-a1c6750ebd674279ac78aa34c904c5932025-08-20T02:19:34ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832025-01-01221173410.2298/SJEE2501017K1451-48692501017KScheduling of home energy management systems for price-based demand response and end-users discomfort reductionKamyab Gholam-Reza0https://orcid.org/0000-0001-7057-928XDepartment of Electrical Engineering, Gonabad Branch, Islamic Azad University, Gonabad, IranThe home energy management system (HEMS) can effectively participate in price-based demand response programs, significantly reducing electricity costs by optimizing the usage times of shift-able household appliances such as washing machines, dishwashers, and others. However, this optimization may compromise the comfort of the residents. In this paper, a discomfort index is proposed based on the time intervals between the start and end of the operation periods of these shift-able appliances relative to their residents' preferred usage times. The problem of optimal scheduling for these appliances is then modeled as an optimization problem aimed at minimizing the weighted sum of the daily household electricity bill and the discomfort index. A constraint is imposed to restrict the discomfort index to a maximum allowable level. This optimization problem is solved using a simulated annealing algorithm across various scenarios with different maximum allowable values for the discomfort index. The simulation results indicate that, among the optimal schedules across the scenarios, the most cost-effective demand response schedule can be identified based on the marginal reductions in the daily household electricity bill. This approach ensures substantial decreases in electricity expenses while avoiding unnecessary increases in the discomfort index.https://doiserbia.nb.rs/img/doi/1451-4869/2025/1451-48692501017K.pdfhome energy management systemdemand responsediscomfort indexsimulated annealing algorithm |
| spellingShingle | Kamyab Gholam-Reza Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction Serbian Journal of Electrical Engineering home energy management system demand response discomfort index simulated annealing algorithm |
| title | Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction |
| title_full | Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction |
| title_fullStr | Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction |
| title_full_unstemmed | Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction |
| title_short | Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction |
| title_sort | scheduling of home energy management systems for price based demand response and end users discomfort reduction |
| topic | home energy management system demand response discomfort index simulated annealing algorithm |
| url | https://doiserbia.nb.rs/img/doi/1451-4869/2025/1451-48692501017K.pdf |
| work_keys_str_mv | AT kamyabgholamreza schedulingofhomeenergymanagementsystemsforpricebaseddemandresponseandendusersdiscomfortreduction |