Distribution Network Path Planning Method Based on Fusion Improved A* and Ant Colony Algorithm

The planning of distribution network has a crucial impact on the reliability, economy and stability of the power network. In order to improve the rationality of distribution network path planning., A research method of path planning based on fusion improved A* and ant colony algorithm is proposed. The differential distribution of pheromones accelerated the initial convergence of ant colonies. Three influencing factors are introduced into the heuristic function and the distance bias function is integrated into the transfer probability, so that ants can better search the path towards the target point and improve the search efficiency. At the same time, a special reward and punishment mechanism is used to update pheromone to solve the problem that the algorithm is easy to fall into local optimal. By comparing with the ACO algorithm and the improved ACO algorithm., the effectiveness of the improved algorithm is verified.