Secondary control with thermostatically controlled loads using MPC based on extended bin state transition model
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000554" target="_blank" >RIV/46747885:24220/16:00000554 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1109/MMAR.2016.7575207" target="_blank" >http://dx.doi.org/10.1109/MMAR.2016.7575207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MMAR.2016.7575207" target="_blank" >10.1109/MMAR.2016.7575207</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Secondary control with thermostatically controlled loads using MPC based on extended bin state transition model
Popis výsledku v původním jazyce
This paper deals with providing the secondary control using a large population of thermostatically controlled loads, in particular electrical space heaters. Model predictive control approach is used for control system design. The controller is based on extended 1D bin state transition model, which is designed to be linear parameter varying model in order to include possibility to control the temperature setpoints. Unlike other systems for performing ancillary services, this controller performs two functions simultaneously: secondary control itself and the function of heaters' thermostats. This extended functionality of the controller gives more possibilities for optimization of the population performance. The obtained results show that the designed control system meets the requirements on the secondary control. The proposed ideas can further be used to develop a control system based on 2D bin state transition model that will provide possibility to take into account more accurate dynamics of the second order equivalent thermal parameters model.
Název v anglickém jazyce
Secondary control with thermostatically controlled loads using MPC based on extended bin state transition model
Popis výsledku anglicky
This paper deals with providing the secondary control using a large population of thermostatically controlled loads, in particular electrical space heaters. Model predictive control approach is used for control system design. The controller is based on extended 1D bin state transition model, which is designed to be linear parameter varying model in order to include possibility to control the temperature setpoints. Unlike other systems for performing ancillary services, this controller performs two functions simultaneously: secondary control itself and the function of heaters' thermostats. This extended functionality of the controller gives more possibilities for optimization of the population performance. The obtained results show that the designed control system meets the requirements on the secondary control. The proposed ideas can further be used to develop a control system based on 2D bin state transition model that will provide possibility to take into account more accurate dynamics of the second order equivalent thermal parameters model.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BC - Teorie a systémy řízení
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/TE01020036" target="_blank" >TE01020036: Pokročilé technologie pro výrobu tepla a elektřiny</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics (MMAR 2016)
ISBN
978-1-5090-1866-6
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
619-624
Název nakladatele
Institute of Electrical and Electronics Engineers Inc. (IEEE)
Místo vydání
New York
Místo konání akce
Miedzyzdroje (Polsko)
Datum konání akce
1. 1. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000392500900110