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  • The increased penetration of renewable energy sources (RES) into the energy mix of many developed nations is important for reduction of our dependence on fossil fuels and for mitigating the contribution of power generation to climate change. However, it also brings new challenges associated with RES intermittency and the limited predictability of their availability. In addition, energy from many types of RES has high variability that can negatively affect the quality of power in the grid they are connected to. To ensure that power quality remains within acceptable limits, operational thresholds of important power quality parameters are specified by many national and international regulatory bodies. Examples of such parameters include system voltage, frequency, power factor, harmonic distortion, voltage unbalance and long and short-term flicker. Although devices that allow control of these parameters exist, the magnitude and time of their response may not be sufficient for many common operational conditions. In this contribution, we propose to enhance the capability of such devices through prediction of quality parameters of power produced by photovoltaic power plants.
  • The increased penetration of renewable energy sources (RES) into the energy mix of many developed nations is important for reduction of our dependence on fossil fuels and for mitigating the contribution of power generation to climate change. However, it also brings new challenges associated with RES intermittency and the limited predictability of their availability. In addition, energy from many types of RES has high variability that can negatively affect the quality of power in the grid they are connected to. To ensure that power quality remains within acceptable limits, operational thresholds of important power quality parameters are specified by many national and international regulatory bodies. Examples of such parameters include system voltage, frequency, power factor, harmonic distortion, voltage unbalance and long and short-term flicker. Although devices that allow control of these parameters exist, the magnitude and time of their response may not be sufficient for many common operational conditions. In this contribution, we propose to enhance the capability of such devices through prediction of quality parameters of power produced by photovoltaic power plants. (en)
Title
  • Towards prediction of photovoltaic power quality
  • Towards prediction of photovoltaic power quality (en)
skos:prefLabel
  • Towards prediction of photovoltaic power quality
  • Towards prediction of photovoltaic power quality (en)
skos:notation
  • RIV/61989100:27740/13:86088102!RIV14-GA0-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0069), P(GA102/09/1842), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 111389
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86088102
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • prediction; power quality; variability; Renewable energy (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [37B54D792AE2]
http://linked.open...v/mistoKonaniAkce
  • Regina
http://linked.open...i/riv/mistoVydani
  • Danvers
http://linked.open...i/riv/nazevZdroje
  • Canadian Conference on Electrical and Computer Engineering 2013
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bilík, Petr
  • Mišák, Stanislav
  • Prokop, Lukáš
  • Snášel, Václav
  • Musílek, Petr
  • Rodway, James
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000326863300013
http://linked.open.../riv/zahajeniAkce
issn
  • 0840-7789
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CCECE.2013.6567680
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4799-0032-9
http://localhost/t...ganizacniJednotka
  • 27740
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