Research Of Reactive Power Optimization In Distribution Network With Distributed Generation

Reactive power optimization of distribution network is an important task of power network planning and operation management,which can have a great impact on the operation economy and security of distribution network.With the large-scale access of distributed power supply:Firstly,the development of distributed power supply and the significance and background of reactive power optimization in distribution network are introduced.The current research status at home and abroad is expounded in combination with the application of distributed power generation.Secondly,this paper introduces the classification of distributed power supply,analyzes the different distributed power interface model,and deduces the output reactive power per the model.The power flow calculation steps were analyzed,per the distributed generation PQ equivalent node,distributedgenerations variety of different access capacity and different access location under the simulation analysis results show that,through the distributed power supply capacity and access location has an important impact on the system the network loss and voltage distribution.Again,this paper introduces the basic principle and steps of particle swarm algorithm and artificial bee colony algorithm,both are easy to fall into local optimum defects,proposed a combination of the two forms of Particle Swarm-new hybrid artificial bee colony algorithm,the initial population is divided into two sub groups,respectively,particle swarm algorithm and artificial bee colony algorithm to ensure the operation.Two the evolution of population synchrony,the information sharing mechanism,which can improve the local search performance,to ensure fast search for global optimal solution.Finally,establish the distribution network with distributed generation mathematical model of reactive power optimization,reactive power output continuity for the distributed power,the discretized given particle swarm hybrid algorithm combining artificial bee colony algorithm for reactive power optimization in operation steps.IEEE combined with practical example,using three kinds of algorithms are simulated from the analysis results,the actual investment of reactive power compensation of cutting capacity and distributed power supply reactive power output is not bigger will make the network loss is small,and should be combined with the specific analysis of the actual situation of distribution network.Through the evolutionary process to determine the degree of change,the proposed hybrid algorithmhas good advantages,can obtain the optimal solution quickly,in the evolutionary process of individual average fitness to maintain a balanced level,can effectively avoid the unfavorable situation of using particle swarm optimization algorithm and artificial bee swarm algorithm premature convergence alone.