Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU142631" target="_blank" >RIV/00216305:26220/21:PU142631 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9650672" target="_blank" >https://ieeexplore.ieee.org/document/9650672</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TIA.2021.3135250" target="_blank" >10.1109/TIA.2021.3135250</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter
Original language description
The increasing photovoltaic (PV) installations and their integration with the utilities have complexed the operation of the power system network making them vulnerable to various faults and abnormalities. The traditional methods developed to handle this problem are aimed to explore the ability of PV inverter to operate in standalone (SA) mode when there are predictable grid side abnormalities or scheduled maintenances. In this article, a grid condition monitoring based transition control approach is developed using machine learning algorithm and a hybrid control strategy. This article is motivated at handling the intentional and unintentional islanding conditions by operating the PV system in both grid-connected (GC) and SA modes. The switching between the controllers is performed by the central controller ensuring a smooth transition and continuous power delivery to the load. For validating the claims, numerical simulations and experimental analysis are carried out with a 4 kWp GC PV system. The results depicted fast grid condition monitoring under 20 ms and smooth transition without any transients or harmonics.
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
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
ISSN
0093-9994
e-ISSN
1939-9367
Volume of the periodical
58
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
2332-2340
UT code for WoS article
000771930400094
EID of the result in the Scopus database
2-s2.0-85121795894