Pregled bibliografske jedinice broj: 986689
Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network
Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network // Energies, 12 (2019), 5; 790, 19 doi:10.3390/en12050790 (međunarodna recenzija, članak, znanstveni)
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Naslov
Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network
Autori
Žnidarec, Matej ; Klaić, Zvonimir ; Šljivac, Damir ; Dumnić, Boris
Izvornik
Energies (1996-1073) 12
(2019), 5;
790, 19
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
power quality ; photovoltaic system ; current harmonics prediction ; artificial neural network
Sažetak
Expanding the number of photovoltaic (PV) systems integrated into a grid raises many concerns regarding protection, system safety, and power quality. In order to monitor the effects of the current harmonics generated by PV systems, this paper presents long-term current harmonic distortion prediction models. The proposed models use a multilayer perceptron neural network, a type of artificial neural network (ANN), with input parameters that are easy to measure in order to predict current harmonics. The models were trained with one- year worth of measurements of power quality at the point of common coupling of the PV system with the distribution network and the meteorological parameters measured at the test site. A total of six different models were developed, tested, and validated regarding a number of hidden layers and input parameters. The results show that the model with three input parameters and two hidden layers generates the best prediction performance.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
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- CA Search (Chemical Abstracts)
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- Compendex (EI Village)
- AGORA
- DOAJ
- EconPapers
- ETDE
- Genamics
- HINARI
- IDEAS (RePEc)external link
- JCReports/ Science Edition
- Julkaisufoorumi Publication Forum
- LAPSE
- Norwegian Register for Scientific Journals
- Series and Publishers (NSD)external link
- RePEcexternal link
