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Evaluation of wind-solar hybrid power generation system based on Monte Carlo method

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 4 (2023)

DOI
10.11591/ijece.v13i4.pp4401-4411
ISSN
2722-2578, 2088-8708
Published
2023-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

The application of wind-photovoltaic complementary power generation systems is becoming more and more widespread, but its intermittent and fluctuating characteristics may have a certain impact on the system's reliability. To better evaluate the reliability of stand-alone power generation systems with wind and photovoltaic generators, a reliability assessment model for stand-alone power generation systems with wind and photovoltaic generators was developed based on the analysis of the impact of wind and photovoltaic generator outages and derating on reliability. A sequential Monte Carlo method was used to evaluate the impact of the wind turbine, photovoltaic (PV) turbine, wind/photovoltaic complementary system, the randomness of wind turbine/photovoltaic outage status and penetration rate on the reliability of Independent photovoltaic power generation system (IPPS) under the reliability test system (RBTS). The results show that this reliability assessment method can provide some reference for planning the actual IPP system with wind and complementary solar systems.

Collaboration network of the authors

20 authors · 54 co-authorship links · 45 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Baghdad College of Economic Sciences University
  • University of Hillah
  • Prince Sattam Bin Abdulaziz University
  • Anyang University
  • University of Warith Al-Anbiyaa
  • Al-Farahidi University
  • INTI International University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Israa Al_BarazanchiAffiliation unknown2
Hissah AlmutairiPrince Sattam Bin Abdulaziz University2
Abdullah AlqahtaniPrince Sattam Bin Abdulaziz University2
Zinah S. JabbarImam Ja’afar Al-Sadiq University2
Ahmed Dheyaa RadhiUniversity of Al-Ameed2
Ali Najim AbdullahUniversity of Diyala1
Ali Talib JawadUniversity of Hillah1
Dalael Saad Abdul-ZahraUniversity of Hillah1
Hala Shaker MehdyMustansiriyah University1
Nariman Jabbar QasimAl-Esraa University1
Haider Hadi AbbasAl Mansour University College1
Aws Hamed HamadMinistry of Higher Education and Scientific Research1
Adnan Yousif DawodUniversity of Kirkuk1
Mohammed Fakhrulddin AbdulqaderBaghdad College of Economic Sciences University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Evaluation of wind-solar hybrid power generation system based on Monte Carlo method</dc:title><dc:creator>Niu, Yitong</dc:creator><dc:creator>Mohammed Merza, Ahmed</dc:creator><dc:creator>Ibraheem Kadhem, Suhad</dc:creator><dc:creator>Tawfeq, Jamal Fadhil</dc:creator><dc:creator>Soon JosephNg, Poh</dc:creator><dc:creator>Gheni, Hassan Muwafaq</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-US"&amp;gt;The application of wind-photovoltaic complementary power generation systems is becoming more and more widespread, but its intermittent and fluctuating characteristics may have a certain impact on the system's reliability. To better evaluate the reliability of stand-alone power generation systems with wind and photovoltaic generators, a reliability assessment model for stand-alone power generation systems with wind and photovoltaic generators was developed based on the analysis of the impact of wind and photovoltaic generator outages and derating on reliability. A sequential Monte Carlo method was used to evaluate the impact of the wind turbine, photovoltaic (PV) turbine, wind/photovoltaic complementary system, the randomness of wind turbine/photovoltaic outage status and penetration rate on the reliability of Independent photovoltaic power generation system (IPPS) under the reliability test system (RBTS). The results show that this reliability assessment method can provide some reference for planning the actual IPP system with wind and complementary solar systems.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i4.pp4401-4411</dc:identifier><dc:identifier>10.11591/ijece.v13i4.pp4401-4411</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 4 (2023); 4401</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/29269/16720</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>