Environmental/Economic Dispatch using Genetic Algorithm and Simulated Annealing

Author

Erdogmus, Pakize ; Ozturk, Ali ; Duman, Serhat

Author_Institution

Dept. of Electron. & Comput. Educ., Duzce Univ., Duzce, Turkey

fYear

2009

fDate

10-12 Nov. 2009

Firstpage

1

Lastpage

4

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.

Keywords

genetic algorithms; power generation dispatch; power system economics; simulated annealing; economic cost dispatch; economic dispatch; environmental dispatch; genetic algorithm; power systems; simulated annealing; thermal generators; thermal-fueled generators; transmission losses; Computer science education; Costs; Environmental economics; Equations; Fuel economy; Genetic algorithms; Particle swarm optimization; Power generation economics; Power system economics; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Power and Energy Conversion Systems, 2009. EPECS '09. International Conference on

Conference_Location

Sharjah

Print_ISBN

978-1-4244-5477-8

Type

conf

Filename

5415749