Research on Reactive Power Optimization Method of Distributed Photovoltaic Access to Distribution Network Based on Improved Gray Wolf Algorithm
After the distributed photovoltaic is connected to the distribution network of the photovoltaic power,with the fluctuation,the system working conditions also change.Facing the complex and changeable distribution network,reasonable reactive power optimization can improve the stability,economy and power quality of the system.In this paper,we study the reactive power optimization method of distributed photovoltaic access distribution network based on the improved grey Wolf algorithm,and improve the global convergence by improving the convergence factor.The influence of reactive power on the distribution network is studied,and the objective function and constraints of reac-tive power optimization based on the improved grey Wolf algorithm are established.Finally,the effectiveness of this method is verified by calculating the IEEE33 node system with examples.
reactive powerreactive power compensationdistributed accessdistribution network