A holistic approach to power quality parameter optimization in AC coupling Off-Grid systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F17%3A10237662" target="_blank" >RIV/61989100:27730/17:10237662 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.epsr.2017.02.021" target="_blank" >http://dx.doi.org/10.1016/j.epsr.2017.02.021</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.epsr.2017.02.021" target="_blank" >10.1016/j.epsr.2017.02.021</a>
Alternative languages
Result language
angličtina
Original language name
A holistic approach to power quality parameter optimization in AC coupling Off-Grid systems
Original language description
The development of autonomous energy systems has been accompanied by a number of challenges related to the specific characteristics of these systems, such as power flow control, development of protection systems respecting the dynamic changes in short-circuit power and the issue of compliance with power quality parameters. To keep the power quality parameters of electrical energy in Off-Grid systems within the limit is highly complicated with regards to the supply of electrical energy from renewable sources of a stochastic nature, which are used as dominant sources of electric or heat energy. Variations in short-circuit power may significantly affect the system stability and may have a negative impact on the operation in case of sensitive appliances. We developed tools and methods to keep the power quality parameters in Off-Grid systems within the limits using an intelligent approach based on an artificial intelligence technique. Our computational model is able to predict disturbances in power quality and perform a set of proper reactions to avoid such disturbances with over 60% success rate in time horizon of 15 min ahead. As a result, it is subsequently possible to optimize the operation of Off-Grid systems and thus contribute to improvements in the power quality parameters in Off-Grid systems.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LO1404" target="_blank" >LO1404: Sustainable Development of Center ENET</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Electric Power Systems Research
ISSN
0378-7796
e-ISSN
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Volume of the periodical
147
Issue of the periodical within the volume
147
Country of publishing house
CH - SWITZERLAND
Number of pages
9
Pages from-to
165-173
UT code for WoS article
000400226500018
EID of the result in the Scopus database
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