Offline photovoltaic maximum power point tracking

Research output: Contribution to conferencePaper

Abstract

As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.
LanguageEnglish
Number of pages5
Publication statusAccepted/In press - 10 Aug 2018
Event3rd International Conference on Power and Renewable Energy - Berlin, Germany
Duration: 21 Sep 201824 Sep 2018

Conference

Conference3rd International Conference on Power and Renewable Energy
Abbreviated titleICPRE 2018
CountryGermany
CityBerlin
Period21/09/1824/09/18

Fingerprint

Electric potential

Keywords

  • renewable energy
  • photovoltaics

Cite this

Jibji-Bukar, F., & Anaya-Lara, O. (Accepted/In press). Offline photovoltaic maximum power point tracking. Paper presented at 3rd International Conference on Power and Renewable Energy, Berlin, Germany.
Jibji-Bukar, Fyali ; Anaya-Lara, Olimpo. / Offline photovoltaic maximum power point tracking. Paper presented at 3rd International Conference on Power and Renewable Energy, Berlin, Germany.5 p.
@conference{86c7000abd7040d6b07dcf684c57abd8,
title = "Offline photovoltaic maximum power point tracking",
abstract = "As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.",
keywords = "renewable energy, photovoltaics",
author = "Fyali Jibji-Bukar and Olimpo Anaya-Lara",
year = "2018",
month = "8",
day = "10",
language = "English",
note = "3rd International Conference on Power and Renewable Energy, ICPRE 2018 ; Conference date: 21-09-2018 Through 24-09-2018",

}

Jibji-Bukar, F & Anaya-Lara, O 2018, 'Offline photovoltaic maximum power point tracking' Paper presented at 3rd International Conference on Power and Renewable Energy, Berlin, Germany, 21/09/18 - 24/09/18, .

Offline photovoltaic maximum power point tracking. / Jibji-Bukar, Fyali; Anaya-Lara, Olimpo.

2018. Paper presented at 3rd International Conference on Power and Renewable Energy, Berlin, Germany.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Offline photovoltaic maximum power point tracking

AU - Jibji-Bukar, Fyali

AU - Anaya-Lara, Olimpo

PY - 2018/8/10

Y1 - 2018/8/10

N2 - As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.

AB - As more renewable energy sources are connected to the electrical grid, it has become important that these sources participate in providing system support. It has become needful for grid-connected solar photovoltaics to participate in support functions like frequency support. However, photovoltaic systems need to implement a maximum power tracking algorithm to operate at maximum power and a method for de-loading photovoltaic systems is necessary for participation in frequency support. Some conventional maximum power tracking techniques are implemented in real time and will not adjust their output fast enough to provide system support while other may respond fast but are not very efficient in tracking the maximum power point of a photovoltaic system. This paper presents an offline method to estimate the maximum power voltage and current based on the characteristics of the photovoltaics module available in the datasheet and using the estimated values to operate the photovoltaics at maximum power. The performance of this technique is compared to the conventional technique. This paper also describes how the photovoltaic system can be de-loaded.

KW - renewable energy

KW - photovoltaics

UR - http://www.icpre.org/

M3 - Paper

ER -

Jibji-Bukar F, Anaya-Lara O. Offline photovoltaic maximum power point tracking. 2018. Paper presented at 3rd International Conference on Power and Renewable Energy, Berlin, Germany.