Environmental/economic dispatch using genetic algorithm and simulated annealing
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Tarih
2009
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Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Abu Dhabi Water and Electricity Authority; GASCO - Abu Dhabi Gas Industries Ltd.; Utec - United Transformers Electric Company; IEEE PES - Power and Energy Society; IEEE
2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009 -- 10 November 2009 through 12 November 2009 -- Sharjah -- 79882
2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009 -- 10 November 2009 through 12 November 2009 -- Sharjah -- 79882
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Kaynak
2009 International Conference on Electric Power and Energy Conversion Systems, EPECS 2009
