The Risk Element Transmission Model of Power Restoration Based on Dynamic Improved Ant Colony Algorithm
In order to restore power supply of a complex distribution network in the most economical way, proposed a dynamic improved ant colony algorithm. It’s used to select the path of supply restoration. Improved the original pheromone update mechanism of ant colony algorithm and update the increment of pheromone dynamically. It not only takes into account the inherent loss in the chosen route for power restoration, but also considers the economic losses in every region caused by time delay. This algorithm can find approximate extreme solutions quickly and avoid trapping in local minima. It can minimum the total economic loss of the electric interruption, and provide a reliable basis for the economic decision-making of the power recovery.
Helen Zhang, Gang Shen and David Jin
M. Huang and C. B. Li, "The Risk Element Transmission Model of Power Restoration Based on Dynamic Improved Ant Colony Algorithm", Advanced Materials Research, Vols. 219-220, pp. 551-555, 2011