Open AccessA method based on cuckoo search for optimal network reconfiguration
Author(s) -
Zhengzhong Gao,
Yujuan Xu,
LI Zong-fu,
Yuchen Sun,
Guangjie Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012123
Subject(s) - cuckoo search , control reconfiguration , computer science , mathematical optimization , cuckoo , position (finance) , algorithm , set (abstract data type) , population , process (computing) , mathematics , particle swarm optimization , zoology , demography , finance , sociology , programming language , economics , biology , operating system , embedded system
The optimal reconfiguration of the distribution network doesn’t require any cost and becomes an effective technique for reducing power loss. So this paper proposes an efficient cuckoo search algorithm for this problem. First, the mapping relationship between the cuckoo search algorithm and the distribution network is established; secondly, the algorithm generates the initial population based on the set of feasible solutions; finally, algorithm updates the nest position by the Lévy flight and nest parasitic behavior. A variable domain search algorithm is introduced to improve for the shortcomings of the cuckoo search algorithm in the process of solving the distribution network reconfiguration problem. Finally, it is verified that the algorithm has the ability to quickly solve the optimal solution by the IEEE33 model simulation analysis.