[1]Fan Yina,Liang Wei,Huang Yuqing,et al.Optimization of operation loss and reliability of power distribution system based on IGA[J].Journal of Zhengzhou University (Engineering Science),2019,40(05):58-63.[doi:10.13705/j.issn.1671-6833.2019.05.009]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40卷
Number of periods:
2019 05
Page number:
58-63
Column:
Public date:
2019-10-23
- Title:
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Optimization of operation loss and reliability of power distribution system based on IGA
- Author(s):
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Fan Yina 1; Liang Wei 2; Huang Yuqing 1; Jo Dong Chu 1; Chen Shengbo 1; Li Ming
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1. School of Engineering Technology, Beijing Normal University Zhuhai Campus; 2. Liaocheng Water Conservancy Survey and Design Institute, Shandong Province; 3. School of Information Science and Engineering, Fudan University
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- Keywords:
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genetic algorithm ; loss minimization ; network reconfiguration ; reliability ; service restoration
- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2019.05.009
- Abstract:
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This study focused on an optimization method that combined simultaneously the reliability and the efficiency of radial power distribution systems ( RDS) , minimized active energy losses, through a process of network reconfiguration. The study based on the failure analysis on network branches, with a special concern on the protection system response to faults and the service restoration procedures, in the emergency state. A non-sequential Monte Carlo simulation based on the branch reliability was used to evaluate reliability of the network configurations. Due to a large number of possible configurations and the need of an effcient search, the optimization was made through an improved genetic algorithm (IGA) . In a first step, the method analyed the RDS considering the absence of investment, and in a second step, the possibility of placing a limited number of new tie-switches in certain branches, according to the definitions made by a decision maker. The effectiveness of the proposed methodology was demonstrated through the analysis of a 69 bus RDS and by comparison against other reported methodologies.