Strategies for Controlling Effectively a Building with Photovoltaic and Batteries
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21720%2F19%3A00337495" target="_blank" >RIV/68407700:21720/19:00337495 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Strategies for Controlling Effectively a Building with Photovoltaic and Batteries
Original language description
In this paper we compare two battery control strategies –common load following strategy and simplified predictive control strategy based on prediction of load and photovoltaic (PV) power. The predictive control strategy was developed and operated for more than 2 years on a pilot project. The load following strategy was simulated using battery storage and PV models as well as on place measured data (consumption, irradiance, temperature... etc). The main objectives of the predictive control strategy is to control the charge/discharge of batteries in a way that will assure high local self-consumption of PV energy, control grid consumption based on tariff structure and limit the maximal grid power. In addition, both control strategies are analysed in order to show their robustness and feasibility under unforeseen situations.
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
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Conference on Digital Image & Signal Processing (DISP’19)
ISBN
978-1-912532-09-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
University of Oxford
Place of publication
Oxford
Event location
Oxford
Event date
Apr 29, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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