A specialized genetic algorithm to solve the short term transmission network expansion planning

Author

Gallego, Luis A. ; Rider, Marcos J. ; Romero, Rubén ; Garcia, Ariovaldo V.

Author_Institution

Fac. of Eng. of Ilha Solteira, Paulista State Univ., Ilha Solteira, Brazil

fYear

2009

Firstpage

1

Lastpage

7

Abstract

In this paper, the short term transmission network expansion planning (STTNEP) is solved through a specialized genetic algorithm (SGA). A complete AC model of the transmission network is used, which permits the formulation of an integrated power system transmission network expansion planning problem (real and reactive power planning). The characteristics of the proposed SGA to solve the STTNEP problem are detailed and an interior point method is employed to solve nonlinear programming problems during the solution steps of the SGA. Results of tests carried out with two electrical energy systems show the capabilities of the SGA and also the viability of using the AC model to solve the STTNEP problem.

Keywords

flexible AC transmission systems; genetic algorithms; nonlinear programming; power transmission planning; reactive power; AC model; SGA; STTNEP problem; electrical energy systems; integrated power system; interior point method; nonlinear programming; reactive power planning; real power planning; short term transmission network expansion planning; specialized genetic algorithm; Capacitors; Costs; Economic forecasting; Electricity supply industry; Genetic algorithms; Investments; Mathematical model; Power system modeling; Power system planning; Transformers; AC model of the transmission network; Transmission network expansion planning; interior point method; mixed integer nonlinear programming; specialized genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2009 IEEE Bucharest

Conference_Location

Bucharest

Print_ISBN

978-1-4244-2234-0

Electronic_ISBN

978-1-4244-2235-7

Type

conf

DOI

10.1109/PTC.2009.5281970

Filename

5281970