Calculating retail prices from demand response target schedules to operate domestic electric water heaters
Abstract The paper proposes a demand response scheme controlling many domestic electric water heaters (DEWHs) with a price function to consume electric power according to a target schedule. It discusses at length the design of an algorithm to calculate the price function from a target schedule. The...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-10-01
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| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42162-018-0020-8 |
| _version_ | 1811273898698735616 |
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| author | Tobias Lübkert Marcus Venzke Volker Turau |
| author_facet | Tobias Lübkert Marcus Venzke Volker Turau |
| author_sort | Tobias Lübkert |
| collection | DOAJ |
| description | Abstract The paper proposes a demand response scheme controlling many domestic electric water heaters (DEWHs) with a price function to consume electric power according to a target schedule. It discusses at length the design of an algorithm to calculate the price function from a target schedule. The price function is used by the control of each DEWH to automatically and optimally minimize its local heating costs. It is demonstrated that the resulting total power consumption approximates the target schedule. The algorithm was successfully validated by simulation with a realistic set of 50 DEWHs assuming perfect knowledge of parameters and water consumption. It is shown that the algorithm is also applicable to clusters of large numbers of DEWHs with statistical knowledge only. However, this leads to a slightly higher deviation from the target schedule. |
| first_indexed | 2024-04-12T23:07:54Z |
| format | Article |
| id | doaj.art-337bd84a0c07411ca83a365cb07f5b68 |
| institution | Directory Open Access Journal |
| issn | 2520-8942 |
| language | English |
| last_indexed | 2024-04-12T23:07:54Z |
| publishDate | 2018-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Energy Informatics |
| spelling | doaj.art-337bd84a0c07411ca83a365cb07f5b682022-12-22T03:12:52ZengSpringerOpenEnergy Informatics2520-89422018-10-011S112010.1186/s42162-018-0020-8Calculating retail prices from demand response target schedules to operate domestic electric water heatersTobias Lübkert0Marcus Venzke1Volker Turau2Telematics, Hamburg University of TechnologyTelematics, Hamburg University of TechnologyTelematics, Hamburg University of TechnologyAbstract The paper proposes a demand response scheme controlling many domestic electric water heaters (DEWHs) with a price function to consume electric power according to a target schedule. It discusses at length the design of an algorithm to calculate the price function from a target schedule. The price function is used by the control of each DEWH to automatically and optimally minimize its local heating costs. It is demonstrated that the resulting total power consumption approximates the target schedule. The algorithm was successfully validated by simulation with a realistic set of 50 DEWHs assuming perfect knowledge of parameters and water consumption. It is shown that the algorithm is also applicable to clusters of large numbers of DEWHs with statistical knowledge only. However, this leads to a slightly higher deviation from the target schedule.http://link.springer.com/article/10.1186/s42162-018-0020-8Smart gridDemand responsePricing schemeBilevel optimizationHeuristicTarget schedule |
| spellingShingle | Tobias Lübkert Marcus Venzke Volker Turau Calculating retail prices from demand response target schedules to operate domestic electric water heaters Energy Informatics Smart grid Demand response Pricing scheme Bilevel optimization Heuristic Target schedule |
| title | Calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| title_full | Calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| title_fullStr | Calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| title_full_unstemmed | Calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| title_short | Calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| title_sort | calculating retail prices from demand response target schedules to operate domestic electric water heaters |
| topic | Smart grid Demand response Pricing scheme Bilevel optimization Heuristic Target schedule |
| url | http://link.springer.com/article/10.1186/s42162-018-0020-8 |
| work_keys_str_mv | AT tobiaslubkert calculatingretailpricesfromdemandresponsetargetschedulestooperatedomesticelectricwaterheaters AT marcusvenzke calculatingretailpricesfromdemandresponsetargetschedulestooperatedomesticelectricwaterheaters AT volkerturau calculatingretailpricesfromdemandresponsetargetschedulestooperatedomesticelectricwaterheaters |