Application of Cuckoo Search algorithm in power network planning

Cuckoo Search algorithm is a new bio-inspired algorithm, which describes cuckoo´s foraging behavior based on parasitized breeding mechanism of cuckoo´s egg and Levy flight search principle. Cuckoo Search algorithm can explore solution space as much as possible and jump out the local best flexibility. Combined with truncation and rounding theory, Cuckoo Search algorithm is improved to apply to power network planning, which is introduced to solve power network chance-constrained integer planning model and search the global optimal solution. The effectiveness and feasibility of the improved Cuckoo Search algorithm solving power network planning model are verified by taking 77-bus system as computational examples. Compared with particle swarm optimization algorithm and genetic algorithm, the proposed algorithm has less parameters and more powerful ability of global searching.