Title :
Transmission network planning using evolutionary programming
Author :
Ceciliano, Jose L. ; Nieva, R.
Author_Institution :
Inst. de Investigaciones Electr., Cuernavaca, Mexico
Abstract :
The paper presents an evolutionary programming approach to transmission network planning in electric power systems. This is a mixed-integer nonlinear programming problem, with a combinatorial nature that leads to an extremely large number of alternative solutions for medium and large size electric systems. The transmission planning problem is briefly described and subsequently formulated in mathematical terms. The proposed evolutionary programming algorithm is applied to a reference electric system for which the solution is known and its performance is compared with simulated annealing, genetic algorithms and tabu search. The application of the proposed algorithm to a large electric network that is representative of the Mexican electric system is reported
Keywords :
electricity supply industry; evolutionary computation; integer programming; nonlinear programming; power engineering computing; power transmission planning; Mexican electric system; combinatorial nature; electric power systems; evolutionary programming; genetic algorithms; large size electric systems; mixed-integer nonlinear programming problem; reference electric system; simulated annealing; tabu search; transmission network planning; transmission planning problem; Annealing; Application software; Computer applications; Costs; Genetic algorithms; Genetic programming; Investments; Large-scale systems; Power system planning; Process planning;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.785492
