The Optimization of the Material Purchase and Storage in Electric Power System by using the Ant Colony Algorithm

Author

Zhang, Caiqing ; Lu, Yanchao

Author_Institution

Dept. of Economic Manage., North China Electr. Power Univ., Hebei

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3485

Lastpage

3489

Abstract

The paper puts forward a material purchase and storage model in electric power system, and converts it into the shortest-circuit problem to solve. The ant colony algorithm of solving the shortest-circuit problem is improved by changing the chosen strategy and the local search strategy. The method makes the algorithm not easy to sink into the local optimization, the rapidity of global optimization is improved, and it is applied to the process of searching the optimization in the purchase and storage model. At last, example shows the improved ant colony algorithm is effective and reliable

Keywords

optimisation; power engineering computing; power system economics; power system management; purchasing; storage; ant colony algorithm; electric power system; material purchase optimization; material storage optimization; shortest-circuit problem; Ant colony optimization; Costs; Energy management; Material storage; Optimization methods; Power generation; Power generation economics; Power system economics; Power system management; Power system modeling; Ant Colony Algorithm; Electric Power System; Purchase and Storage; Shortest-circuit Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713016

Filename

1713016