Abstract
In this paper, three artificial intelligence techniques, genetic algorithm (GA), simulated annealing (SA), and tabu search (TS) are proposed to search for solutions to transmission network planning. The performance of each of the techniques is studied and the results compared with these from conventional methods. The problem of transmission network planning is formulated as a genetic algorithm, simulated annealing and tabu search with the cost of new lines and security constraints at each bus-bar included. The novel results from a set of tests carried out on the prototype show that the application of genetic algorithm; simulated annealing and tabu search techniques are feasible in transmission network planning. Finally, observations (1), (2), (3), (4), and (5) are presented by analysis of variance.
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