The Multi-Stage Transmission Network Planning Based on Chaotic Artificial Fish School Algorithm

The traditional transmission network planning is confined to a single-level construction, while the actual transmission network planning needs to take into account the time factor, namely how to build the best route to network planning. The difficulty of the multi-stage planning is the transition between stages, with the later stages of the decision-making depending on earlier stages of decision-making. Classic dynamic programming can not solve large-scale transmission network planning program. In this paper, pseudo-dynamic programming deals with the multi-stage problem, whose objective is to reduce the number of iterations. The combination of Chaotic Optimization Algorithm and Artificial Fish School Algorithm is free from blindness and limitations of the hybrid algorithm search. The hybrid algorithm is efficient and quick in computation. The calculation results of the 19-bus system reveal that applying hybrid algorithm into transmission network planning is not only feasible, but also has a very high computational efficiency.