Direct control of a large population of electrical space heaters based on bin state transition model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F16%3A00000553" target="_blank" >RIV/46747885:24220/16:00000553 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/MED.2016.7536037" target="_blank" >http://dx.doi.org/10.1109/MED.2016.7536037</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MED.2016.7536037" target="_blank" >10.1109/MED.2016.7536037</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Direct control of a large population of electrical space heaters based on bin state transition model

Popis výsledku v původním jazyce

Thermostatically controlled loads have great potential for being used as a demand side resource for ancillary service provision. Developing smart communication and metering infrastructure provides possibility to embed advanced control strategies, such as model predictive control, into electrical energy production and distribution processes using concepts of smart grid and virtual power plant. This paper deals with aggregated modelling of a large group of electrical space heaters and model-based control system design using this model. Aggregated model is designed using bin state transition model principle. The obtained results show that the model predictive controller based on this model is able to control large groups of thermostatically controlled loads in a way that meets the requirements on the secondary control. This holds even if significant difference between model (assuming homogeneous population) and reality (heterogeneous population) exists.

Název v anglickém jazyce

Direct control of a large population of electrical space heaters based on bin state transition model

Popis výsledku anglicky

Thermostatically controlled loads have great potential for being used as a demand side resource for ancillary service provision. Developing smart communication and metering infrastructure provides possibility to embed advanced control strategies, such as model predictive control, into electrical energy production and distribution processes using concepts of smart grid and virtual power plant. This paper deals with aggregated modelling of a large group of electrical space heaters and model-based control system design using this model. Aggregated model is designed using bin state transition model principle. The obtained results show that the model predictive controller based on this model is able to control large groups of thermostatically controlled loads in a way that meets the requirements on the secondary control. This holds even if significant difference between model (assuming homogeneous population) and reality (heterogeneous population) exists.

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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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

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 24th Mediterranean Conference on Control and Automation (MED 2016)

ISBN

978-1-4673-8345-5

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

310-315

Název nakladatele

Institute of Electrical and Electronics Engineers Inc. (IEEE)

Místo vydání

New York

Místo konání akce

Athény (Řecko)

Datum konání akce

1. 1. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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