Publication: A Novel Generation and Capacitor Integration Technique for Today's Distribution Systems
| dc.authorscopusid | 22433630600 | |
| dc.authorscopusid | 35791875600 | |
| dc.contributor.author | Özgönenel, O. | |
| dc.contributor.author | Karagöl, S. | |
| dc.date.accessioned | 2020-06-21T13:27:44Z | |
| dc.date.available | 2020-06-21T13:27:44Z | |
| dc.date.issued | 2017 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Özgönenel] Okan, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Karagöl] Serap, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey | en_US |
| dc.description.abstract | In this paper, the problem of optimally placing shunt capacitors and generators in radial distribution systems is handled and a new calculation technique based on wavelet neural network (WNN), which is computationally effective compared to well-known techniques, is proposed. The objectives for the proposed method are simply selected as the minimum cost of peak power and losses and maximum voltage stability. The suggested optimization technique is tested on various IEEE radial buses and then compared to the well-known methods in the literature, i.e. golden section search, grid search, and Acharya's heuristic method. The proposed and conventional methods are applied to well-known IEEE buses to see the performances of the suggested technique. The results demonstrate that WNN provides an efficient solution to the placement of both shunt capacitors and distributed generators for power distribution systems. © TÜBİTAK. | en_US |
| dc.identifier.doi | 10.3906/elk-1602-197 | |
| dc.identifier.endpage | 2443 | en_US |
| dc.identifier.issn | 1300-0632 | |
| dc.identifier.issn | 1303-6203 | |
| dc.identifier.issue | 3 | en_US |
| dc.identifier.scopus | 2-s2.0-85020708851 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 2434 | en_US |
| dc.identifier.uri | https://doi.org/10.3906/elk-1602-197 | |
| dc.identifier.volume | 25 | en_US |
| dc.identifier.wos | WOS:000404385700065 | |
| dc.identifier.wosquality | Q3 | |
| dc.language.iso | en | en_US |
| dc.publisher | Turkiye Klinikleri Journal of Medical Sciences Talapapa Bulvary no. 102 Hamammonu 1 06230 | en_US |
| dc.relation.ispartof | Turkish Journal of Electrical Engineering and Computer Sciences | en_US |
| dc.relation.journal | Turkish Journal of Electrical Engineering and Computer Sciences | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Capacitor Planning | en_US |
| dc.subject | Optimization | en_US |
| dc.subject | Renewable Generation | en_US |
| dc.subject | Smart Grid | en_US |
| dc.subject | Wavelet Neural Network | en_US |
| dc.title | A Novel Generation and Capacitor Integration Technique for Today's Distribution Systems | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |
