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Research On Reconfiguration Of Distribution Network With Distributed Generation Based On Hybrid Algorithm Of Gravity Search

Posted on:2018-06-13Degree:MasterType:Thesis
Country:ChinaCandidate:M Y LuFull Text:PDF
GTID:2322330518992031Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the development of the scale and organization of the smart grid,distributed generation has been paid more and more attention as an indispensable part of the whole process.Because of its further complement of the traditional mode of supply of electricity,so in the production of electric energy in the proportion of the proportion of distributed power is increasing.Distributed power supply will play a certain role in all aspects of power system after its access to distribution network.In this paper,the significance,status quo and future development of distribution network reconfiguration are discussed.Then the distributed power classification,and to establish the model of distributed power classification,make it can be used to calculate power flow and as objective function to optimize the distribution network to reduce the active power loss.Then,a hybrid algorithm combining gravity search and particle swarm optimization for distribution network reconfiguration is presented.In view of the traditional gravitational search algorithm with strong searching ability but it is easy to find the optimal solution of the problems in the local,the whole particle swarm optimization ability to use the hybrid algorithm with gravitational search algorithm better search ability of particle swarm algorithm and global optimization ability.Finally,this paper verifies the original distribution network reconfiguration and takes into account the two aspects of DG access distribution network reconfiguration.The original distribution network reconfiguration with the IEEE33 node,PG&E69 node network test system,taking into account the reconstruction of the distribution network with DG IEEE33 bus system simulation experiment to test the hybrid algorithm.The experimental results show that the hybrid algorithm can effectively avoid the local optimal solution and get the optimal solution in a very short time.As a result,the active power loss of the distribution network after the reconstruction is significantly reduced,and the voltage quality of each node in the distribution network is improved significantly.
Keywords/Search Tags:distribution network reconfiguration, distributed generation, gravitational search algorithm, particle swarm optimization
PDF Full Text Request
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