Title :
A Metaheuristic to Solve the Transmission Expansion Planning
Author :
Romero, Rubén ; Rider, Marcos J. ; Silva, I.de J.
Author_Institution :
Fac. of Eng. of Ilha Solteira, Paulista State Univ., Paulista, Brazil
Abstract :
In this letter, a genetic algorithm (GA) is applied to solve the static and multistage transmission expansion planning (TEP) problem. The characteristics of the proposed GA to solve the TEP problem are presented. Results using some known systems show that the proposed GA solves a smaller number of linear programming problems in order to find the optimal solutions and obtains a better solution for the multistage TEP problem.
Keywords :
genetic algorithms; linear programming; power transmission planning; genetic algorithm; linear programming; metaheuristic approach; multistage transmission expansion planning; Genetic algorithms; Helium; Linear programming; Mathematical model; Power system planning; Power transmission lines; Proposals; Testing; Topology; Transformers; Combinatorial optimization; genetic algorithm; metaheuristics; transmission expansion planning;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2007.907592
