Research On The Application Of Improved Ant Colony Algorithm In The City Distribution Network Service Restoration

According to the requirements and objectives of project that is the Research on the control strategy of the fast Fault recovery based on the realization of city distribution network fault positioning precision and rapid isolation of distribution automation technology. And via analyzing the present situation of the research on distribution network fault restoration. In this paper, the fault recovery strategies of city distribution network are deeply studied. Its content mainly includes three parts as follows:1. The flow calculation of distribution network is not only a foundation of analysis, but also is an indispensable part of distribution network fault restoration. The computation efficiency and the calculation result will directly affect the reliability and speediness of distribution fault recovery scheme formation. Because of it, I propose a more suitable power flow calculation algorithm for distribution network fault restoration based on the basis of previous studies. That is forward and backward substitution method based on the branch power adjacent and sub node table. And then carry on the simulation analysis in the standard distribution network with 33 nodes in IEEE. The simulation results prove the accuracy, the fast and the simple of the distribution network flow calculation algorithm.2. The ant colony algorithm is a kind of modern heuristic optimization technique; its main characteristics are positive feedback, distributed computing, strong robustness and easy to be combined with other algorithms, so it is very suitable for solving all kinds of Nonlinear combination optimization problem, such as distribution network fault restoration. However,the ant colony algorithm itself also has some shortcomings, such as prone to easily trapped into local optimal solution and the search for a long time and so on. To solve this problem,this paper proposes an ant colony algorithm based on improved adaptive thought. The improved ant colony algorithm adopts the adaptive adjustment mechanism by some important parameters involved in the ant colony algorithm(rho, alpha and beta) and limits the pheromone maximum and minimum values on the search path, in order to improve the search performance, to overcome the shortcomings of the premature convergence and slow convergence speed. At last, the simulation result in TSP shows that the algorithm is an effective algorithm.3. According to the requirements of the project take the distribution network friendship of pilot district in road south Tianjin as a simplified model, and Simulation analysis the specific examples. The final results prove the validity and practicability of the distribution network fault restoration strategy based on the improved ant colony algorithm.