Application of individual differences ant colony algorithm in transmission network expansion planning

The search efficiency of the individual ants is improved by means of introducing individual ant velocity to its colony optimization process and creating new pheromone release functions. Improve the selected line coding method by assigning 2N numbers to N nodes. For instance, integer number 1 to n for lines to be selected and n+1 to 2n for unselected. Situation like algorithm getting stuck into a local optimum caused by the excessive concentration of pheromone can be avoided by adopting improved coding method during ant colony optimization. Simulation results show that the algorithm can effectively solve the expansion planning problem of transmission network after applying improved ant colony optimization and establishing relevant mathematical model.