A two-level neural network approach for flicker source location
| Autor: | Mohsen Tajdinian, Teymoor Ghanbari, Haidar Samet, Mahdi Khosravi |
|---|---|
| Přispěvatelé: | Electrical Energy Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Physics::Medical Physics 02 engineering and technology Physics::Data Analysis Statistics and Probability Hilbert transform Units of measurement Autoregressive Moving Average (ARMA) 0202 electrical engineering electronic engineering information engineering Astrophysics::Solar and Stellar Astrophysics Autoregressive–moving-average model Electrical and Electronic Engineering Envelope (mathematics) Artificial neural network business.industry Flicker Spectral density 020206 networking & telecommunications Pattern recognition AC power Flicker source identify Control and Systems Engineering Power quality 020201 artificial intelligence & image processing Artificial intelligence business ANN Voltage |
| Zdroj: | Computers and Electrical Engineering, 92:107157. Elsevier |
| ISSN: | 0045-7906 |
| Popis: | Identification of flicker sources is necessary to find who is responsible for the measured flicker and improve power quality. This paper puts forward a new method for identifying flicker sources with minimum measurement units. Contrary to the previous works where flicker sources are considered a single-frequency signal, the autoregressive moving average (ARMA) is used to model active and reactive power variations. First, the envelope of the network voltage at the considered busbars is derived by the Hilbert transform. Then, appropriate flicker indices are extracted from the power spectral density (PSD) of the voltage envelope. A novel two-level structure of a set of ANNs is proposed, which needs a low number of voltage measurement units to locate the flicker sources. Using the captured data from different simulations of various scenarios, the Artificial Neural Networks (ANNs) are trained to categorize flicker sources. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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