Genetic algorithms based economic dispatch for cogeneration units considering multiplant multibuyer wheeling

Author

Hong, Ying-Yi ; Li, Chih-Yuan

Author_Institution

Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan

Volume

17

Issue

1

fYear

2002

fDate

2/1/2002 12:00:00 AM

Firstpage

134

Lastpage

140

Abstract

A new method based on genetic algorithms (GA) is proposed for optimal dispatch among multiplant (cogeneration systems) with multicogenerators, which transmit MW to designated buyers (load buses) via wheeling. The operation constraints in the cogeneration systems and security constraints in the third party (transmission system owner) were considered. Varying weighting coefficients for penalty functions and determination of gene variables for GA were discussed. The IEEE 30- and 118-bus systems were used as test systems to illustrate the applicability of the proposed method

Keywords

cogeneration; genetic algorithms; power generation dispatch; power generation economics; power transmission; IEEE 118-bus system; IEEE 30-bus system; cogeneration systems; genetic algorithms; multicogenerators; multiplant multibuyer wheeling; operation constraints; optimal dispatch; penalty functions; power transmission; security constraints; transmission system owner; weighting coefficients; Cogeneration; Contracts; Costs; Genetic algorithms; Lagrangian functions; Power generation; Power generation economics; Power industry; Power system economics; Production facilities;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.982204

Filename

982204