Research On Reactive Power Optimization Of Distribution Network With Distributed Generation Based On Improved Differential Evolution Algorithm

At present,the main production,transmission and distribution methods of power systems are parallel generation of large-capacity generating units,ultra-high-voltage remote transmission,and cross-regional large-scale power grids.Social economy is booming after the reform and opening up,and the continuous improvement of the quality of people's lives has led to an ever-expanding scale of distribution networks.Their structure has become more complicated.The reliability requirements of the power quality and transmission power used by various enterprises and users have followed.The promotion.Compared with the traditional power generation system,the distributed power generation technology using renewable energy generates higher utilization of energy,lower environmental pollution,lower cost,and can improve the reliability and flexibility of the distribution network.In practical applications,the DG power supply output has a random nature.When the DG supplies active power and reactive power to the distribution network,it will change the size and direction of the distribution network power flow,resulting in an increase in distribution network loss and reliability,and so on.Uncertainty.In summary,it can be found that after the distributed power supply is connected to the distribution network,the reactive power optimization method of the distribution network has important reference value for future power system development.This paper first simulates and simulates the position,quantity,and capacity of DG in parallel,and compares and analyzes the effect of distributed power supply on reducing the network loss and increasing the voltage of each node.Then the basic concepts,types,calculation methods and calculation processes of power flow calculation in distribution network are expounded.The interface modes of various DGs when they join the distribution network and the methods used by them when calculating the distribution network power flow are discussed.Finally,the principle and evolutionary process of the differential evolution algorithm are analyzed in detail.Based on this,a non-fixed multi-stage penalty function method is selected to define the constraints,and a new strategy is proposed to solve the nonlinear constrained optimization problem with the improved differential evolution algorithm.The characteristics of two different mutation methods in the differential evolution algorithm are integrated.The parameters of the algorithm are improved while the simulated annealing factor is introduced.The system simulation is performed with the IEEE-33 node power distribution system.The basic particle swarm algorithm and the basic difference algorithm are used.Compared with the improved differential algorithm's reactive power optimization results,the convergence curves and the node voltage before and after optimization curves of the three algorithms are finally obtained.The results show that the improved differential algorithm adopted in this paper has better convergence and stability and can effectively Solve the problem of reactive power optimization of distribution networks with DG and improve the quality of the power grid.