Title :
Multistage and coordinated planning of the expansion of transmission systems
Author :
Escobar, Antonio H. ; Gallego, Ramón Alfonso ; Romero, Rubén
Author_Institution :
Electr. Eng. Dept., Univ. Tecnologica de Pereira, Pereira-Risaralda, Colombia
fDate :
5/1/2004 12:00:00 AM
Abstract :
In this paper, an efficient genetic algorithm (GA) is presented to solve the problem of multistage and coordinated transmission expansion planning. This is a mixed integer nonlinear programming problem, difficult for systems of medium and large size and high complexity. The GA presented has a set of specialized genetic operators and an efficient form of generation of the initial population that finds high quality suboptimal topologies for large size and high complexity systems. In these systems, multistage and coordinated planning present a lower investment than static planning. Tests results are shown in one medium complexity system and one large size high complexity system.
Keywords :
computational complexity; genetic algorithms; integer programming; nonlinear programming; power transmission planning; complex system; coordinated planning; genetic algorithm; genetic operators; mixed integer nonlinear programming; multistage planning; transmission systems expansion; Associate members; Circuits; Genetic algorithms; Investments; Mathematical model; Network topology; Power system modeling; Power system planning; Power system reliability; Process planning;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2004.825920