Title :
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
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;
Conference_Titel :
PowerTech, 2009 IEEE Bucharest
Conference_Location :
Bucharest
Print_ISBN :
978-1-4244-2234-0
Electronic_ISBN :
978-1-4244-2235-7
DOI :
10.1109/PTC.2009.5281970
