Optimal Scheduling of Short-term Hydrothermal Generation Using Symbiotic Organisms Search Algorithm
dc.contributor.author | Kahraman, Hamdi Tolga | |
dc.contributor.author | Döşoğlu, Mehmet Kenan | |
dc.contributor.author | Güvenç, Uğur | |
dc.contributor.author | Duman, Serhat | |
dc.contributor.author | Sönmez, Yusuf | |
dc.date.accessioned | 2020-04-30T23:20:18Z | |
dc.date.available | 2020-04-30T23:20:18Z | |
dc.date.issued | 2016 | |
dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.description | 4th International Istanbul Smart Grid Congress and Fair (ICSG) -- APR 20-21, 2016 -- Istanbul, TURKEY | en_US |
dc.description | sonmez, yusuf/0000-0002-9775-9835; GUVENC, Ugur/0000-0002-5193-7990; Duman, Serhat/0000-0002-1091-125X | en_US |
dc.description | WOS: 000389660400011 | en_US |
dc.description.abstract | In this study, the Symbiotic Organisms Search (SOS) algorithm is proposed to solve the short-term hydrothermal generation scheduling (STHGS) problem. This problem aims to optimize the power generation strategy produced by hydroelectric and thermal plants by minimizing the total fuel cost function while satisfying some operational constraints. In order to evaluate the effectiveness of the SOS, it has been tested on a system having a hydro plant with four-cascaded reservoir and a thermal plant. Results have been compared other meta-heuristic methods. Results obtained from the experiment show that the proposed algorithm produces better results than the other methods and shows a good convergence. | en_US |
dc.description.sponsorship | Republ Turkey, Minist EU Affairs, Turkiye Cumhuriyeti Kultur Turizm Bakanligi, KOSGEB, TEDAS, TEIAS, Istanbul Buyuksehir Belediyesi, Turkish Electro Technol, Energy Business Council, Foreign Econ Relat Board, Istanbul Kanalizasyon Idaresi, BOTAS, IGDAS Gokyuzuyle Arkadas, Istanbul Ticaret Odasi, Istabul Sanayi Odasi, UHE, UFI, Elder, GAZBIR, TENVA, Turk Sanayici Isadamlari VAKFI, Organize Sanayi Bolgeleri Dernegi, Teknoloji Ar Ge Bilim Inouasyon Dernegi, TURKCELL, Vodafone, LUNA, STATUEAZ, SABAH, HITACHI, KOHLER, ORACLE, aselsan, ERICSSON, NETAS, SIEMENS, Microsoft, best, HHB EXPO, Republ Turkey, Minist Sci Ind & Technol, Republ Turkey, Minist Environm & Urbanisat, Republ Turkey, Minist Energy & Nat Resources, EPDK, Republ Turkey, Istanbul Metropolitan Municipal, Ugetam, IEEE SMARTGRID, IEEE Power & Energy Soc | en_US |
dc.identifier.endpage | 64 | en_US |
dc.identifier.isbn | 978-1-5090-0866-7 | |
dc.identifier.startpage | 60 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/3976 | |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ieee | en_US |
dc.relation.ispartof | 2016 4Th International Istanbul Smart Grid Congress And Fair (Icsg) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Symbiotic organisms search | en_US |
dc.subject | Short-term hydrothermal generation scheduling | en_US |
dc.subject | Optimization | en_US |
dc.title | Optimal Scheduling of Short-term Hydrothermal Generation Using Symbiotic Organisms Search Algorithm | en_US |
dc.type | Conference Object | en_US |