A simulated rebounding algorithm applied to the multi-stage security-constrained transmission expansion planning in power systems

摘要: Abstract This research discusses the multi-stage security-constrained transmission network expansion planning. In modern power systems, problem is formulated as a large-scale, mixed-integer, non-linear programming problem, which for real systems very difficult to solve. Although remarkable advances have been made in optimization techniques, finding an optimal solution of this nature can still be extremely challenging. paper, new constructive heuristic approach, based on local controlled random search (simulated rebounding algorithm) proposed choose decision variables. The model produce better solutions than other references techniques such particle swarm optimization, evolutionary genetic algorithms, and simulated annealing algorithm, among methods. methodology applied assess capabilities approach Ecuadorian Chilean Power Systems example application. Simulation results show that accurate efficient, it has potential system planning problems. algorithm presented