A solution of generation expansion problem by means of neutral network

Author

Sasaki, H. ; Kubokawa, J. ; Watanabe, M. ; Yokoyama, R. ; Tanabe, R.

Author_Institution

Dept. of Electr. Eng., Hiroshima Univ., Japan

fYear

1991

fDate

23-26 Jul 1991

Firstpage

219

Lastpage

224

Abstract

The authors present how to solve power system generation expansion planning by artificial neutral networks, especially the Hopfield type network. In the first place, generation expansion planning is formulated as a 0-1 integer programming problem and then mapped onto the modified Hopfield neural network that can handle a large number of inequality constraints. The neural network simulated on a digital computer can solve a fairly large problem of 20 units over 10 periods. Although the network cannot give the optimal solution, the results obtained are quite promising

Keywords

Hopfield neural nets; digital simulation; integer programming; power engineering computing; power system planning; Hopfield; digital simulation; generation expansion; inequality constraints; integer programming; neutral network; power engineering computing; power system planning; Artificial neural networks; Costs; Hopfield neural networks; Large-scale systems; Linear programming; Neural networks; Neurons; Operational amplifiers; Optimization methods; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of

Conference_Location

Seattle, WA

Print_ISBN

0-7803-0065-3

Type

conf

DOI

10.1109/ANN.1991.213474

Filename

213474