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Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network


Žnidarec, Matej; Klaić, Zvonimir; Šljivac, Damir; Dumnić, Boris
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)


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

Profili:

Avatar Url Zvonimir Klaić (autor)

Avatar Url Damir Šljivac (autor)

Avatar Url Matej Žnidarec (autor)

Citiraj ovu publikaciju

Žnidarec, Matej; Klaić, Zvonimir; Šljivac, Damir; Dumnić, Boris
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)
Žnidarec, M., Klaić, Z., Šljivac, D. & Dumnić, B. (2019) Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network. Energies, 12 (5), 790, 19 doi:10.3390/en12050790.
@article{article, year = {2019}, pages = {19}, DOI = {10.3390/en12050790}, chapter = {790}, keywords = {power quality, photovoltaic system, current harmonics prediction, artificial neural network}, journal = {Energies}, doi = {10.3390/en12050790}, volume = {12}, number = {5}, issn = {1996-1073}, title = {Harmonic Distortion Prediction Model of a Grid- Tie Photovoltaic Inverter Using an Artificial Neural Network}, keyword = {power quality, photovoltaic system, current harmonics prediction, artificial neural network}, chapternumber = {790} }

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  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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