Font Size: a A A

Study On Optimal Allocation Of Distributed Generation And Reconfiguration Of Distribution Network

Posted on:2018-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:J S HuFull Text:PDF
GTID:2322330518991993Subject:Electrical theory and new technology
Abstract/Summary:PDF Full Text Request
Distributed generation uses clean power,and has the characteristics of flexibility,high efficiency.It has attracted much attention and has made great progress in recent years.The introduction of distributed generation may cause series of influences on distribution system operation and security.Loss problem of distribution system is researched in this paper.According to the different running characteristics,the common DG is equivalent to four kinds of nodes,the second order cone model in power flow calculation is established.Then the power flow algorithm based on second order cone programming is given.The validity and stability of the proposed algorithm are verified in the IEEE33 node system.Simulation analysis shows that the proposed algorithm performs well on four types of DG.The basic content of genetic algorithm is introduced.Considering the economy of distribution network,the minimum loss is taken as the objective function,and the catastrophic genetic algorithm is used to solve the DG optimal allocation problem.The algorithm is tested on a IEEE33 node system,and the simulation results verify the effectiveness of the proposed method.The mathematical model of distribution network reconfiguration is established by taking the minimum active power loss as the objective function.The chromosome encoding is adopted decimal encoding based on the loop,and the switching loop matrix and the hierarchical strategy is adopted to eliminate the infeasible solution in genetic operations.Finally,in the IEEE33 node system,the distribution network reconfiguration are simulated and analyzed in three cases:without DG,with a single type of DG,with 4 types of DG.This paper discusses the two aspects of reducing the network loss and improving the voltage level of the node,and proves the validity and superiority in the reconfiguration of the proposed approach.
Keywords/Search Tags:Distributed generation, Power flow calculation, Optimal allocation, Distribution network reconfiguration, Catastrophic genetic algorithm
PDF Full Text Request
Related items