Environmental/economic dispatch using genetic algorithm and simulated annealing
| dc.contributor.author | Erdoğmuş, Pakize | |
| dc.contributor.author | Öztürk, Ali | |
| dc.contributor.author | Duman, Serhat | |
| dc.date.accessioned | 2020-04-30T13:32:25Z | |
| dc.date.available | 2020-04-30T13:32:25Z | |
| dc.date.issued | 2009 | |
| dc.department | DÜ, Teknik Eğitim Fakültesi, Elektronik ve Bilgisayar Eğitimi Bölümü | en_US |
| dc.description | Abu Dhabi Water and Electricity Authority; GASCO - Abu Dhabi Gas Industries Ltd.; Utec - United Transformers Electric Company; IEEE PES - Power and Energy Society; IEEE | en_US |
| dc.description | 2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009 -- 10 November 2009 through 12 November 2009 -- Sharjah -- 79882 | en_US |
| dc.description.abstract | In recent years, running of the generators at minimum cost and desired limit values has gradually increasing importance at Power systems using thermal-fueled generators. Various algorithms for solving economic dispatch problem have been found in the literature. In this study, Genetic Algorithm (GA) and Simulated Annealing (SA) solutions to Economic Cost Dispatch (ECD), Environmental Dispatch (ED), Environmental/Economic Dispatch (EED) have been found, by taking into account the environmental issue. A sample consisting of six thermal generators are presented. Transmission losses are included. Results taken with both methods have been compared to each other. | en_US |
| dc.identifier.isbn | 9789948427155 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/285 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | 2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009 | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Environmental/economic dispatch using genetic algorithm and simulated annealing | en_US |
| dc.type | Conference Object | en_US |
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