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Research On Distribution Network Reconfiguration With Distributed Generation

Posted on:2019-11-11Degree:MasterType:Thesis
Country:ChinaCandidate:D SongFull Text:PDF
GTID:2382330572952555Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Distribution network reconfiguration is to reduce the network loss and improve the quality of voltage by controlling the state of the switch and the network topology.Distributed power supply(Distribu8ted Generation,DG)has been developed rapidly and steadily in distribution network due to its advantages of clean,environmental protection,flexibility and high efficiency.The grid connection of DG will have a great influence on the load flow calculation,planning and operation,and relay protection in the feeder.Therefore,this paper mainly aims to reduce the loss of active power.According to its operating characteristics,the common DG is equivalent to three types of nodes:PI,PQ,and PV.This paper first proposes an improved forward-regression generation-flow algorithm,and tests the effectiveness and stability of the proposed algorithm in the IEEE 33-bus test system.It also verifies the proposed algorithm's ability to compute three types of DGs.Established a distribution network model with DG,and then found that the main factors affecting its network loss are: access location,capacity,and power factor;and from the reverse face of these three factors to verify;and then use the control variable method,IEEE33 Node distribution system for simulation.In the expansion planning of the power grid,it lays a theoretical foundation for the site selection and constant volume of distributed power supply.Taking the minimum active loss as the objective function,a mathematical model of distribution network reconfiguration is established.Then a PSO-CS algorithm based on particle swarm algorithm combined with cuckoo is proposed to synthesize the dual advantages of the two algorithms.The small population is optimized using the PSO algorithm and then sent to the higher-level CS algorithm for deep optimization.And using the median clustering method to reorganize the underlying population,thereby improving its blindness,and improve the global search ability of the PSO algorithm.The improved particle swarm algorithm was tested in the IEEE33 node system;then the multi-case simulation analysis was performed for the distribution network without DG,single-type DG and multi-type DG,and the results of reconstruction under different conditions were fully analyzed.The effectiveness and superiority of this algorithm in reconstruction.
Keywords/Search Tags:distribution network reconstruction, power flow calculation, distributed power supply, cuckoo algorithm, particle swarm optimization
PDF Full Text Request
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