Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1465
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Üney, Mehmet Şefik | - |
dc.contributor.author | Çetinkaya, Nurettin | - |
dc.date.accessioned | 2021-12-13T10:41:23Z | - |
dc.date.available | 2021-12-13T10:41:23Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 1330-3651 | - |
dc.identifier.issn | 1848-6339 | - |
dc.identifier.uri | https://doi.org/10.17559/TV-20181205153116 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1465 | - |
dc.description.abstract | Optimal reactive power dispatch (ORPD) is significant regarding operating the practice safely and efficiently. The ORPD is beneficial to recover the voltage profile, diminish the losses and increase the voltage stability. The ORPD is a complicated optimization issue in which the total active power loss is reduced by detecting the power-system control variables, like generator voltages, tap ratios of tap-changer transformers, and requited reactive power, ideally. This study offers new approaches based on Shuffled Frog Leaping Algorithm (SFLA) and Tree Seed Algorithm (TSA) to solve the best ORPD. The results of the approaches are offered set against the current results studied in the literature. The recommended algorithms were tested by IEEE-30 and IEEE-118 bus systems to discover the optimal reactive power control variables. It was observed that the obtained results are more successful than the other algorithms. | en_US |
dc.language.iso | en | en_US |
dc.publisher | UNIV OSIJEK, TECH FAC | en_US |
dc.relation.ispartof | TEHNICKI VJESNIK-TECHNICAL GAZETTE | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Energy Management | en_US |
dc.subject | Heuristic Algorithms | en_US |
dc.subject | Load Flow | en_US |
dc.subject | Optimization Methods | en_US |
dc.subject | Reactive Power Control | en_US |
dc.subject | Particle Swarm Optimization | en_US |
dc.subject | Frog-Leaping Algorithm | en_US |
dc.subject | Dispatch | en_US |
dc.subject | Search | en_US |
dc.subject | Flow | en_US |
dc.title | New Metaheuristic Algorithms for Reactive Power Optimization | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.17559/TV-20181205153116 | - |
dc.identifier.scopus | 2-s2.0-85073598418 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.identifier.volume | 26 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.startpage | 1427 | en_US |
dc.identifier.endpage | 1433 | en_US |
dc.identifier.wos | WOS:000489225700030 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 56724057000 | - |
dc.authorscopusid | 10739795700 | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 02.04. Department of Electrical and Electronics Engineering | - |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
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tv_26_2019_5_1427-1433.pdf | 462.42 kB | Adobe PDF | View/Open |
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