Application of improved shuffled frog leaping algorithm based on threshold selection strategy in transmission network planning

Shuffled Frog Leaping Algorithm (SFLA) has fast calculation speed and excellent global search capability, which is good at solving sequential problem and can fall into local optimal solution easily. Through the discretization of solution vector and using threshold selection strategy, an improved shuffled frog leaping algorithm based on threshold selection strategy (ISFLA) for transmission network planning is presented. The contrast results of studies by PSO and ISFLA show that the proposed ISFLA can acquire global optimization with smaller calculation size and shorter computing time. Through the analysis of impact on convergence rate under different thresholds, it can be seen that the reasonable threshold should be chosen for different grid sizes and different scales of expansion planning, which can raise ISFLA's convergence speed and the effectiveness of transmission network planning.