A new decomposition based method for optimal expansion planning of large transmission networks

Author

Levi, Viktor A. ; Calovic, Milan S.

Author_Institution

Sch. of Eng. Sci., Novi Sad Univ., Yugoslavia

Volume

6

Issue

3

fYear

1991

fDate

8/1/1991 12:00:00 AM

Firstpage

937

Lastpage

943

Abstract

A new method is presented for long-range transmission network expansion planning, based on the decomposition principle. The overall transmission expansion planning task is divided into two problems, the first one dealing with investments, and the second with operations. The investment problem is specified as the minimum cost problem of network programming, leading to the decomposition into the model of minimum load curtailment and the proposed model of the (local) marginal network. The operation problem is solved by applying the Monte Carlo simulation, with suitable control strategies and additional reliability constraints. The final result is the software package, verified on test examples, as well as on the real transmission network of the power pool of eastern Yugoslavia

Keywords

Monte Carlo methods; power system analysis computing; power system planning; transmission networks; Monte Carlo simulation; decomposition based method; eastern Yugoslavia; investments; marginal network; minimum cost problem; minimum load curtailment; operations; optimal expansion planning; power pool; reliability; software package; transmission networks; Costs; Decision trees; Investments; Linear programming; Load flow; Meeting planning; Power system control; Power system modeling; Power system planning; Software packages;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.119232

Filename

119232