P;anning Of Distribution Network With Distribution Generation Based On Artificial Fish Swarm Algorithm

Distributed generation (DG) is an efficient, environmental friend ly, new power generationtechnology, which has the advantage of less investment, flexible operation and insta lla tion, andhigher power supply reliability. However, switching the large-scale DG to the distributionnetwork brings more uncertainties to the distribution network pla nning and power system loadforecasting. Meanwhile, switching the DG to the distribution network can also influence thepower quality, power system protection and reliability, which are closely related with their sitesand sizes. Therefore, the study of the sizes and the sites of DG will have the great strategicimportance and practica l value.In this paper, double artificia l fish swarm algorithm (AFSA) is applied to networkoptimization of the distribution network with DG. The outer optimize DG's sites and sizes .Considering the impact of switching DG to the distribution network on the flow, the outeroptimization results will be brought to the inner line optimization. At the end of AFSA, we obtainthe optimization solutions of the distribution lines and the insta llation sites and sizes of the DG.The dynamic branch matrix is generated in the process of the inner line optimization in the paper.The breadth first search strategy is used to re-form the branch matrix for the flow calculation.This method can identify the distribution network topology automa tically, and avoid of checkingthe distribution network radiation , with the advantage of practicability and improvedoptimization efficiency.Targeting at improving the low precision and slow convergence speed in the later stage,AFSA has been enhanced by the best individ ua l strategy and dynamic adjustment vision strategy.Finally, AFSA is applied to a classic example to verify its effectiveness and feasibility inoptimizing the distribution network expansion pla nning with DG.