Multi-objective Optimal Reconfiguration Research In Distribution Networks With Distributed Generation

Along with State Grid put forward Strong Smart Grid, and lately promulgate standards for allowing Distributed Generation (DG) put in the grid. DG has good prospect for development in the future. It is a good complement to the power system, and can improve power quality and reduce network loss, etc. Distribution network reconfiguration play important role in safeguarding the economy and reliability of distribution network.In this paper, the research situation of distribution network reconfiguration and DG are expounded, mathematical model of DG and its power flow calculation is introduced. First, improved genentic algorithm is used to optimize distribution network reconfiguration with DG in the paper. Adopt the loop based on binary coding; add adaptive control in the crossover and mutation. Put forward a new method to eliminate non-feasible solution in the process of the crossover and the mutation. Then, improved ant colony algorithm is adopted to optimize distribution network reconfiguration with DG. Using randomly generated tree form network, and utilizing the correlation function of matter element analysis update local pheromone of ant, then combining with global pheromone optimization network. Finally, the multi-objective optimization problem is studied. Due to distribution network configuration tend to consider more than one objective function, but the multiple objective functions. In the paper, the minimum network loss and balance load as objective functions, combine genetic algorithm with ant colony algorithm to analysis distribution network, using Pareto multi-objective optimization technique to obtain distribution network reconfiguration scheme by IEEE69node system. Finally, the case shows that the reasonable access of DG can effectively reduce the loss of network and balance load.