Shaping aggregated load profiles based on optimized local scheduling of home appliances
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Author (Corporation)
Publication date
01.02.2018
Typ of student thesis
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Collections
Type
01A - Journal article
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Parent work
Computer Science - Research and Development
Special issue
DOI of the original publication
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Series
Series number
Volume
33
Issue / Number
1-2
Pages / Duration
61-70
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Edition
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Practice partner / Client
Abstract
We present a new method to control an aggregated electric load profile by exploiting the flexibilities provided by residential homes. The method is based on a common energy price combined with inclining block rates, broadcasted to all households allowing them to minimize their energy provisioning cost. The distributed home energy management systems receive the price signal and use mixed integer linear programming for optimal scheduling of load, storage, and generation devices. The method provides excellent scalability as well as autonomy for home owners and avoids load synchronization effects. As proof of concept, an optimization algorithm for determining a day-ahead price is applied in two case studies. An excellent conformance between a given reference load profile and the resulting aggregated load profile of all households is demonstrated.
Keywords
HEMS, Real-time price, Inclining block rates, Demand response, Distributed load management, MILP
Event
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ISBN
ISSN
1865-2034
1865-2042
1865-2042
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
License
Citation
Hunziker, C., Schulz, N., & Wache, H. (2018). Shaping aggregated load profiles based on optimized local scheduling of home appliances. Computer Science - Research and Development, 33(1-2), 61–70. https://doi.org/10.1007/s00450-017-0347-6