Research On Distribution Network Reconfiguration Based On Improved Artificial Searching Swarm Algorithm

The distribution network reconfiguration technology is an important technical means to reduce the network loss,improve the reliability of power supply and improve the quality of power supply voltage by changing the distribution of network topology.Artificial searching swarm algorithm is a kind of bionic intelligent algorithm.It’s parameters are few and it’s principle is easy to understand,but it is easy to fall into the local optimal value and the convergence speed is slow.This paper improves the algorithm and applies it to the distribution network reconstruction.The main research work is as follows:By introducing the concept of soldier’s position similarity,a Multi-swarm Artificial searching swarm algorithm based on similarity weights was proposed to divide the soldier’s location range into multiple groups,and the optimal value in the lower small population range was selected and sent to the upper layer.In large populations,Lévy flight is used for overall optimization.In order to improve the blindness of the algorithm,median dynamic clustering is introduced to reorganize small populations,and the best individuals found in large populations are returned to the reorganized The small population is compared and optimized,and the global search ability is improved by using the LMASSA algorithm of the double structure framework.The test results verify the effectiveness of the improved Artificial searching swarm algorithm.In this paper,the power flow calculation model includes DG network is established by using the forward backward generation power flow calculation method of node layering,and the stability of power flow algorithm is simulated and tested on IEEE-33 node system.Taking PQ,PI,PV,and PQ(V)nodes as examples,this paper analyzes the post-distribution of DG access networks at different locations.The voltage and network loss of each node of the power grid;Taking the PQ node with adjustable capacity as an example,the relationship between the unit value of the lowest node voltage and the network loss in the distribution network is analyzed when the DG is connected to a fixed node in the network and the capacity is adjusted.The validity of the power flow calculation method is verified by the above example.The encoding scheme and application flow of LMASSA algorithm in distribution network reconfiguration are determined.After verifying the validity of LMASSA algorithm in distribution network reconfiguration by using IEEE-33 and PG&69 node systems respectively,a mathematical model with active network loss as the objective function is established.Distribution network reconfiguration with the same type of DG,different types of DG and changing DG position is simulated and calculated separately;in order to improve the economy Yes,voltage stability index is added as the function model of double objective optimization on the basis of single objective optimization,and the comparison is made before and after reconstruction without DG and with four different types of DG.All of the above show that LMASSA algorithm can reduce the network loss and improve the voltage quality to a certain extent.For the restoration of power supply after a permanent failure in a distribution network containing DG,an improved artificial search swarm algorithm is used to divide the islands according to the capacity of DG.At the same time,the islands of distributed power generation are used to maintain the power supply of important loads.Restore power supply in the power outage area.Taking the IEEE-33 node power distribution system as an example,and useing the minimum network loss as the objective function,the fault recovery and reconstruction are carried out to verify the effectiveness of island division method and power supply recovery and reconstruction algorithm.