A hybrid meta-heuristic algorithm for transmission expansion planning
This paper proposes an integrated approach of genetic algorithms, Tabu search and simulated annealing for multi-stage (dynamic) transmission network expansion planning. The proposed algorithm integrates the most interesting and best features of the above individual algorithms. The efficiency and reliability of the proposed algorithm is proved with the modified Garver's six-bus network. Finally, a real-world application (Sri Lankan transmission network) of the integrated algorithm is presented for multi-stage transmission expansion planning.
simulation electric power systems