Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1288
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shehu, Gaddafi S. | - |
dc.contributor.author | Çetinkaya, Nurettin | - |
dc.date.accessioned | 2021-12-13T10:38:40Z | - |
dc.date.available | 2021-12-13T10:38:40Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1454-8658 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1288 | - |
dc.description.abstract | The influencing factors associated with the efficient operation of power systems are minimum fuel cost and losses in the transmission line. Optimal Power Dispatch (OPD) problem is treated to minimize instantaneous operating cost, incremental cost, and transmission line losses considering various network operating constraint. Newly developed Nature-inspired optimization algorithms approach are proposed in this analysis with robust parameter selections. The results of most popular Genetic Algorithm (GA) and based on swarm behavior Particle Swarm Optimization (PSO) are compared with four Nature-inspired metaheuristic algorithms of Cuckoo Search (CS), Bat Algorithm (BA), Flower Pollination Algorithm (FPA), and Firefly Algorithm (FA). The quadratic cost function of power generation and penalty function to account for inequality constraints on dependent variables are added for solving OPD problem. A common algorithms evaluation parameters such as population size and generation limit are designated on an equal scale. Explicit parameters for each algorithm are tuned properly for optimal operations. The algorithms are tested on IEEE-26 and IEEE-30 system. Analysis Outcomes obtained showcase the efficiency of each algorithms parametric turning improvement. | en_US |
dc.description.sponsorship | TUBITAK TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) | en_US |
dc.description.sponsorship | I will like to acknowledge the support of TUBITAK Turkey. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ROMANIAN SOC CONTROL TECH INFORMATICS | en_US |
dc.relation.ispartof | CONTROL ENGINEERING AND APPLIED INFORMATICS | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Fuel Cost | en_US |
dc.subject | Nature-Inspired Optimization | en_US |
dc.subject | Optimal Power Dispatch | en_US |
dc.subject | Parametric Turning | en_US |
dc.subject | Particle Swarm Optimization | en_US |
dc.subject | Reactive Power | en_US |
dc.subject | Bat Algorithm | en_US |
dc.subject | Dispatch | en_US |
dc.title | A comparison of Improved Nature-Inspired Algorithms for Optimal Power System Operation | en_US |
dc.type | Article | en_US |
dc.identifier.scopus | 2-s2.0-85063072705 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.authorid | Sani Shehu, Gaddafi/0000-0002-2721-9964 | - |
dc.identifier.volume | 20 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.startpage | 50 | en_US |
dc.identifier.endpage | 59 | en_US |
dc.identifier.wos | WOS:000456636800006 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q3 | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
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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