Back-Pressure Cogeneration Economic Dispatch For Physical Bilateral Contract Using Genetic Algorithms

Author

Hong, Ying-Yi ; Li, Chih-Yuan

Author_Institution

Dept. of E.E., Chung Yuan Christian Univ., Chung-li

fYear

2006

fDate

11-15 June 2006

Firstpage

1

Lastpage

8

Abstract

A method based on genetic algorithms (GA) is proposed for economic dispatch among multi-plant (cogeneration systems) with multi-generators, which transmit MW to designated buyers (load buses) via physical bilateral contracts. The operation constraints in the cogeneration systems were considered. Virtual Lagrange multipliers were proposed for enhancing the convergence speed to optimality. GA parameters were also investigated for the convergence performance. The IEEE 30- and 118-bus systems were used as test systems to illustrate the applicability of the proposed method

Keywords

cogeneration; contracts; genetic algorithms; power generation dispatch; power generation economics; 118-bus systems; GA; IEEE 30-bus systems; back-pressure cogeneration; bilateral contract; economic dispatch; genetic algorithms; multigenerators multiplant; operation constraints; virtual Lagrange multipliers; Cogeneration; Contracts; Costs; Environmental economics; Genetic algorithms; Lagrangian functions; Power generation; Power generation economics; Power system economics; Production facilities; Bilateral contract; Cogeneration; Genetic algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on

Conference_Location

Stockholm

Print_ISBN

978-91-7178-585-5

Type

conf

DOI

10.1109/PMAPS.2006.360247

Filename

4202259