Power distribution network planning based on risk assessment and improved ant colony algorithm
Licheng Sha · Electric Power · 2009
An algorithm of power distribution network flexible planning was proposed based on risk assessment and improved ant colony algorithm. The parameters of object year, such as load, electrovalence, lead price were changed from discrete state to a section of multi-scenario. The uncertainty problem of planning was changed into several confirmed problems. An adaptive ant colony algorithm based on cloud model was presented. The parameters ρ and Q of ant colony algorithm are qualitatively controlled and dynamically selected by employing the uncertain qualitative association rule inference based on cloud model. The pheromone of branches is adaptive updated according to the process of the algorithm. The adaptive algorithm overcomes the main disadvantage of being inclined to local convergence and slow convergence speed of traditional ant colony algorithm. The adaptive algorithm is applied in confirmed distribution network structure planning. The scheme of each scenario was obtained and the optimum robust planning scheme was made with considering the minimum cost expectation scheme. Then the distribution network flexible planning could be realized. The instance of the paper indicates the method is feasible.