Economic nonlinear MPC for a population of thermostatically controlled loads
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006207" target="_blank" >RIV/46747885:24220/18:00006207 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s00450-017-0354-7" target="_blank" >http://dx.doi.org/10.1007/s00450-017-0354-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00450-017-0354-7" target="_blank" >10.1007/s00450-017-0354-7</a>
Alternative languages
Result language
angličtina
Original language name
Economic nonlinear MPC for a population of thermostatically controlled loads
Original language description
Thermostatically controlled loads, including heat pumps, electrical space heaters, air-conditioners, electrical boilers, and refrigerators, have a large potential to provide regulation services to energy systems. In this paper, we design a price-responsive control system for aggregating and coordinating a population of thermostatically controlled loads, each with a relatively small power consumption. The goal is to shift electricity consumption of the whole group to the periods with low electricity prices. Model predictive control is an advanced control method, which can naturally include electricity price and weather forecasts as well as the dynamics of the loads into the control problem. The main challenge is to find an accurate aggregate model describing demand response of the population. The proposed solution is a nonlinear modification of bin state transition model, which is further used for formulating nonlinear mixed integer optimization problem. The control objective is to minimize operational cost of the population. As a case study, we consider a population of electrical space heaters. The numerical simulations demonstrate the accuracy of the obtained model and that the proposed control system reduces the operational cost up to 20%, whereas the customer comfort is not compromised.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Science - Research and Development, Volume 33, Issue 1-2
ISBN
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ISSN
1865-2034
e-ISSN
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Number of pages
11
Pages from-to
157-167
Publisher name
Springer Verlag
Place of publication
Berlin Heidelberg
Event location
Lugano
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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