Distribution Network Reconfiguration With Distributed Generations

Nowadays,with the rapid development and widespread use of clean energy,distributed power with economic,clean,renewable and so more and more incorporated into the distribution network,the distribution network to bring the capacity margin and the benefits of economic operation also increases the complexity of the distribution network operation nature,changing the trend of the load flow.With the introduction of the smart grid,distributed generation will be more widely used in the distribution network,thus improving the distribution network and stable operation of the economy put forward higher requirements.This paper describes the types and classification of distributed generation nodes,Analyzes the influence of the various aspects of the system.Secondly,discuss the method of load flow on distribution network of distributed,and the backward substitution method of encoding the first structure proposed improvements,the use of current and voltage nodes instead of active and reactive power nodes,greatly accelerated computing speed.Then for the genetic algorithm crossover and mutation rate caused by the inappropriate choice of easy precocity and local optimization,an improved adaptive genetic algorithm,by changing the formula crossover and mutation rates make up the genetic algorithm premature and local optimization shortcomings.Finally,the damage to the network function as the objective function in the IEEE-33 node model was validated by the improved method,simulation results show that the proposed method in the power distribution network containing distributed generation that can effectively reduce network losses and improve network node voltage at a faster convergence rate guarantee global optimization characteristics,effectively ensure the safe and economic operation of the system.