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Distribution Network Reconfiguration With Distributed Generation

Posted on:2015-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:H C ZhangFull Text:PDF
GTID:2322330485995885Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
As a new power supply, distributed generation quickly has been applied in the power system for its low investment, flexible assembly and a high efficiency of new energy. As a part of the smart grid, smart distribution network is directly connected to the electricity load. The operating status of distribution network is also more complicated with the fluctuations of load. When distributed generation access distribution network, it will have an influencet on the the distribution network. At that time, the traditional analysis methods may no longer be used in distributed power distribution network. Distribution network reconfiguration, as an important means of distribution network optimization, can effectively reduce network losses, improve voltage quality and improve the reliability of the distribution network. And it is important to the operation of the whole big grid. Based on the analysis of domestic and international research, the main work of this paper is as follows:Firstly this paper introduces the reconfiguration method of traditional distribution network, including the use of digital technology in the reconstruction algorithm optimization, branch exchange algorithm, the optimal flow pattern algorithm and reconfiguration algorithm based on artificial intelligence algorithms. Also, this paper introduces the classification of the distributed generations and their respective characteristics.Secondly based on particle swarm optimization, this paper proposed a new reconfiguration theory by introducing a repair strategy. The repair strategy base on graph theory, and provides three rules in the reconstruction process to ensure the new network structure is radial. The new encoding can reduce the dimensions of the particles,and simplified its calculation. This paper uses IEEE69 and a typical 84-node system as examples.Finally, this paper established a distribution network reconfiguration model considering DG. And use the method of this study to optimize the program combines DG output and distribution network reconfiguration. This paper uses IEEE69 which join DGs as an example to validation the proposed method.
Keywords/Search Tags:Distributed generation, Distribution network reconfiguration, Particle swarm optimization, Graph theory
PDF Full Text Request
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