Distribution network reconfiguration with distributed power based on genetic algorithm

This paper focuses on distributed power(DG) impact on distribution network and distribution network reconfiguration algorithms. First the article describes the impact of DG on distribution networks failure reconfiguration, Then set reconfiguration evaluation model based on Wind turbine as a specific...

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Vydané v:2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies s. 811 - 815
Hlavní autori: Yao Shu-jun, Yan Zhi, Wang Yan, Yan Yu-xin, Song Xiao-yan
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.07.2011
Predmet:
Convergence
Distributed Power
Distribution network
Genetic algorithms
Genetics
Network reconfiguration
Power systems
Switches
Wind speed
Wind turbines
ISBN:9781457703645, 1457703645
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Abstract This paper focuses on distributed power(DG) impact on distribution network and distribution network reconfiguration algorithms. First the article describes the impact of DG on distribution networks failure reconfiguration, Then set reconfiguration evaluation model based on Wind turbine as a specific DG, based on the above, adjust the fitness function structure of Improved genetic algorithm. Meanwhile, this selection operator using the tournament selection method combined with elitist selection method approach in order to make the Selection operator of genetic algorithm focus on the fitness value compared and keep high fitness individuals. Finally, test examples show that the algorithm is reasonable and effective.
AbstractList This paper focuses on distributed power(DG) impact on distribution network and distribution network reconfiguration algorithms. First the article describes the impact of DG on distribution networks failure reconfiguration, Then set reconfiguration evaluation model based on Wind turbine as a specific DG, based on the above, adjust the fitness function structure of Improved genetic algorithm. Meanwhile, this selection operator using the tournament selection method combined with elitist selection method approach in order to make the Selection operator of genetic algorithm focus on the fitness value compared and keep high fitness individuals. Finally, test examples show that the algorithm is reasonable and effective.
Author Wang Yan
Yan Yu-xin
Song Xiao-yan
Yao Shu-jun
Yan Zhi
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  surname: Yao Shu-jun
  fullname: Yao Shu-jun
  organization: North China Electr. Power Univ., Beijing, China
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  surname: Yan Zhi
  fullname: Yan Zhi
  organization: North China Electr. Power Univ., Beijing, China
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  surname: Wang Yan
  fullname: Wang Yan
  organization: North China Electr. Power Univ., Beijing, China
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  surname: Yan Yu-xin
  fullname: Yan Yu-xin
  organization: North China Electr. Power Univ., Beijing, China
– sequence: 5
  surname: Song Xiao-yan
  fullname: Song Xiao-yan
  organization: North China Electr. Power Univ., Beijing, China
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Snippet This paper focuses on distributed power(DG) impact on distribution network and distribution network reconfiguration algorithms. First the article describes the...
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SubjectTerms Convergence
Distributed Power
Distribution network
Genetic algorithms
Genetics
Network reconfiguration
Power systems
Switches
Wind speed
Wind turbines
Title Distribution network reconfiguration with distributed power based on genetic algorithm
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