Research On Distribution Network Reconfiguration Considering Wind Farm Access

With the rapid development of today’s society,the power load is also growing.How to reduce the environmental pollution under the traditional power generation mode has gradually become a research hotspot of experts and scholars.As a distributed generation,wind energy is clean and pollution-free.Nowadays,wind power generation technology is widely used in power system.However,with the access of a large number of wind power,the structure and operation mode of distribution network have changed,and the traditional distribution network reconfiguration is no longer applicable.Therefore,the research on the reconfiguration of distribution network with wind power access has important application value.Firstly,the paper introduces the research status of distribution network reconfiguration.Taking the relatively mature wind power generation technology as the research object,the paper establishes the corresponding mathematical model,integrates the parameters and output power of each unit in the wind farm,and takes the equivalent results as the wind turbine in the reconfiguration research,and briefly describes the impact of wind power integration on the distribution network.By comparing and analyzing the power flow calculation methods of distribution network,the traditional forward backward power flow algorithm is improved,and the improved forward backward power flow algorithm is more suitable for power flow calculation of distribution network with wind power.Taking IEEE33 node distribution system as an example,the simulation results show that different access locations and capacities of wind turbines have different effects on the network loss and node voltage amplitude of the system.Then,the optimization principles and steps of ordinary particle swarm optimization algorithm and quantum particle swarm optimization algorithm are introduced respectively.Because quantum particle swarm optimization algorithm is not suitable for solving discrete problems,a binary coded quantum particle swarm optimization algorithm is proposed,and the mutation operation of genetic algorithm is introduced to improve it.The improved algorithm has better convergence speed and global optimization Three standard test functions are used to test the quantum particle swarm optimization algorithm and the improved quantum particle swarm optimization algorithm.The test results verify the effectiveness of the improved quantum particle swarm optimization algorithm.Finally,the optimization model of distribution network reconfiguration is established with the objective of minimizing network loss and node voltage offset.Taking IEEE33 node distribution system as an example,combined with the optimization algorithm proposed in this paper,the reconfiguration analysis of distribution network without wind power and distribution network with wind power grid connection is carried out respectively.The results show that the optimized distribution network topology can be obtained by the algorithm in this paper The original network,in the optimized operation mode,can not only reduce the system network loss,but also improve the node voltage of the system,which proves the effectiveness and superiority of the algorithm.