Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach
Home appliances constitute an interesting source of flexibility for demand response programs. However, their control and coordination are challenging, since typically a high number of such appliances has to be aggregated in order to provide a sufficient amount of flexibility. Thus, an efficient and...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9585590/ |
| _version_ | 1818919348455079936 |
|---|---|
| author | Steffen Limmer Fernando Lezama Joao Soares Zita Vale |
| author_facet | Steffen Limmer Fernando Lezama Joao Soares Zita Vale |
| author_sort | Steffen Limmer |
| collection | DOAJ |
| description | Home appliances constitute an interesting source of flexibility for demand response programs. However, their control and coordination are challenging, since typically a high number of such appliances has to be aggregated in order to provide a sufficient amount of flexibility. Thus, an efficient and scalable control approach is required. In a previous work, metaheuristic methods were evaluated for solving a control problem, which considers the regulation and time shifting of home appliances. The present paper presents two extensions of this problem, which consider a higher degree of flexibility, and which increase the practical relevance of the problem. Linear and quadratic formulations of the basic problem and its extensions are provided, which allow the use of mathematical programming for their solution. In experiments, the scalability of the proposed mathematical programming approach is evaluated and the impact of the problem extensions on the resulting schedules is investigated. The results show that problem instances with up to several thousand appliances can efficiently be solved and that aggregators can benefit from the additional flexibility considered in the problem extensions. |
| first_indexed | 2024-12-20T01:04:26Z |
| format | Article |
| id | doaj.art-2807176b394e41689837a576739ac9c9 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:04:26Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2807176b394e41689837a576739ac9c92022-12-21T19:58:54ZengIEEEIEEE Access2169-35362021-01-01914618314619410.1109/ACCESS.2021.31229289585590Coordination of Home Appliances for Demand Response: An Improved Optimization Model and ApproachSteffen Limmer0https://orcid.org/0000-0003-2385-7886Fernando Lezama1https://orcid.org/0000-0001-8638-8373Joao Soares2https://orcid.org/0000-0002-4172-4502Zita Vale3https://orcid.org/0000-0002-4560-9544Honda Research Institute Europe GmbH, Offenbach am Main, GermanyResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto (ISEP/IPP), Porto, PortugalResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto (ISEP/IPP), Porto, PortugalResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Polytechnic Institute of Porto (ISEP/IPP), Porto, PortugalHome appliances constitute an interesting source of flexibility for demand response programs. However, their control and coordination are challenging, since typically a high number of such appliances has to be aggregated in order to provide a sufficient amount of flexibility. Thus, an efficient and scalable control approach is required. In a previous work, metaheuristic methods were evaluated for solving a control problem, which considers the regulation and time shifting of home appliances. The present paper presents two extensions of this problem, which consider a higher degree of flexibility, and which increase the practical relevance of the problem. Linear and quadratic formulations of the basic problem and its extensions are provided, which allow the use of mathematical programming for their solution. In experiments, the scalability of the proposed mathematical programming approach is evaluated and the impact of the problem extensions on the resulting schedules is investigated. The results show that problem instances with up to several thousand appliances can efficiently be solved and that aggregators can benefit from the additional flexibility considered in the problem extensions.https://ieeexplore.ieee.org/document/9585590/Demand responseenergy managementflexibility managementhome appliancesload shiftingmathematical programming |
| spellingShingle | Steffen Limmer Fernando Lezama Joao Soares Zita Vale Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach IEEE Access Demand response energy management flexibility management home appliances load shifting mathematical programming |
| title | Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach |
| title_full | Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach |
| title_fullStr | Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach |
| title_full_unstemmed | Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach |
| title_short | Coordination of Home Appliances for Demand Response: An Improved Optimization Model and Approach |
| title_sort | coordination of home appliances for demand response an improved optimization model and approach |
| topic | Demand response energy management flexibility management home appliances load shifting mathematical programming |
| url | https://ieeexplore.ieee.org/document/9585590/ |
| work_keys_str_mv | AT steffenlimmer coordinationofhomeappliancesfordemandresponseanimprovedoptimizationmodelandapproach AT fernandolezama coordinationofhomeappliancesfordemandresponseanimprovedoptimizationmodelandapproach AT joaosoares coordinationofhomeappliancesfordemandresponseanimprovedoptimizationmodelandapproach AT zitavale coordinationofhomeappliancesfordemandresponseanimprovedoptimizationmodelandapproach |