Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Intelligent Transition Control Approach for Different Operating Modes of Photovoltaic Inverter

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

ISSN

0093-9994

e-ISSN

1939-9367

Svazek periodika

58

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

2332-2340

Kód UT WoS článku

000771930400094

EID výsledku v databázi Scopus

2-s2.0-85121795894