Renewable energy inclusion on economic power optimization using thunderstorm algorithm [2]
| dc.contributor.author | Afandi, A.N. | |
| dc.contributor.author | Fujita, G. | |
| dc.contributor.author | Khai, N.P. | |
| dc.contributor.author | Sulistyorini, Y. | |
| dc.contributor.author | Tutkun, Nedim | |
| dc.date.accessioned | 2020-04-30T13:33:15Z | |
| dc.date.available | 2020-04-30T13:33:15Z | |
| dc.date.issued | 2017 | |
| dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.description.abstract | This paper presents an economic operation considered renewable energy which is optimized using thunderstorm algorithm. The problem is constrained by an emission standard and various technical limits implemented on the 62-bus system model. Simulations showed that the renewable energy inclusion penetrates to the unit commitment of generating units with strongly approach for the computational solution. This inclusion also affects to the individual power production in accordance to the fuel cost and pollutant discharge. © 2018, Institute of Advanced Engineering and Science. All rights reserved. | en_US |
| dc.identifier.doi | 10.11591/eecsi.4.984 | |
| dc.identifier.endpage | 382 | en_US |
| dc.identifier.issn | 2407439X | |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.startpage | 377 | en_US |
| dc.identifier.uri | https://dx.doi.org/10.11591/eecsi.4.984 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/589 | |
| dc.identifier.volume | 4 | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Advanced Engineering and Science | en_US |
| dc.relation.ispartof | International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Economic operation; Pollutant emission; Renewable energy; Thunderstorm algorithm | en_US |
| dc.title | Renewable energy inclusion on economic power optimization using thunderstorm algorithm [2] | en_US |
| dc.type | Conference Object | en_US |
