Methodology for Flicker Estimation and Its Correlation to Environmental Factors in Photovoltaic Generation | Zendy

David A. Elvira-Ortiz | Zendy; Daniel Morinigo-Sotelo | Zendy; Oscar Duque-Perez | Zendy; Arturo Y. Jaen-Cuellar | Zendy; Roque A. Osornio-Rios | Zendy; Rene de J. Romero-Troncoso | Zendy

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Methodology for Flicker Estimation and Its Correlation to Environmental Factors in Photovoltaic Generation

Author(s) -

David A. Elvira-Ortiz,

Daniel Morinigo-Sotelo,

Oscar Duque-Perez,

Arturo Y. Jaen-Cuellar,

Roque A. Osornio-Rios,

Rene de J. Romero-Troncoso

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2829148

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Flicker is a very common power quality disturbance due to the inclusion of photovoltaic (PV) generation on the electric grid. This paper presents a methodology for flicker estimation in a PV generation that fuses multiple signal classification and discrete wavelet transform to provide high-resolution frequency estimation with an accurate amplitude measurement. This tool considers that flicker is not stationary over time and that more than one frequency component can exist on a voltage signal. In Addition, this paper finds that sun irradiance, temperature, and the action of the solar inverter are the sources of flicker in PV generation. The methodology is applied to real signals from three days with different weather conditions. In Addition, two different solar inverters are evaluated to see their influence on the parameters of flicker. Results show that flicker can contain more than one frequency component that can change over time. Finally, this paper shows that around 70% to 80% of flicker is linked to irradiance and cell temperature whereas the 20% to 30% can be attributed to the operation of solar inverters.

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