Study On Distribution Network Reconfiguration Based On Extension Ant Colony Algorithm

With the sustainable development of national economy, the need for power is increasing. Electric power consumers make a higher request on the reliability and stability of power supply. The purpose of distribution network reconfiguration is to adjust the structure of network and enhance the security, reliability and economy of power system by changing the state of section switches and loop switches when the network is in its normal operating conditionits or in fault recovering.The objective function of distribution network reconfiguration is established as minimizing the network loss. It is essential to study on basic principle and mathematical model of ant colony algorithm to solve stochastic Generation tree, the analogue of ants' stochastic moving, the searching way corresponding to power flow calculation and so on. Through examples, the results show the feasibility and deficiency of ant colony algorithm adopted in distribution network reconfiguration.Aimed at the deficiency of ant colony algorithm, Extension theory is adopted to combine with ant colony algorithm effectively. The concepts of ant colony algorithm are described as formalize models, such as pheromones, branches and so on. And the updating rule is improved by correlation function and updating local and global pheromone trails are both adopted to reduce the possibility of being the local optima and enhance the speed of convergence.Extension ant colony algorithm is programmed in m-file of MATLAB. Through the example of actual power system, it is compared with ant colony algorithm unimproved. The results and data analysis show that Extension ant colony algorithm, which is adopted in distribution network reconfiguration, has its superiority.