Study On Distribution Network Optimization Planning Based On Particle Swarm Optimization Algorithm With Adaptive Velocity

Distribution network structure optimization is the focus of distribution network planning and difficult work, to optimize the planning can greatly enhance the overall operation of distribution network reliability, economy and security.For the distribution network structure optimization problem, this choice of the smallest annual comprehensive cost of single-stage model as the objective function. In the establishment of the above optimization model for distribution network structure, based on the article in the original particle swarm optimization (PSO) is set dynamically based on the maximum speed limit, proposed a rate of Adaptive particle swarm optimization algorithm. Through the neural network tests show that the algorithm convergence speed and accuracy are better than the original algorithm, and parameter select flexible and easy to implement. Will improve the algorithm is applied to optimize the distribution network structure planning, and use the theory of fuzzy evaluation of blind information satisfaction evaluation, obtained the algorithm actual truss optimization practicality and superiority.