Reconfiguration of two-voltage distribution network based on cuckoo search and simulated annealing algorithm
DOI:10.19783/j.cnki.pspc.190949
Key Words:two-voltage distribution network  network reconfiguration  simulated annealing algorithm  cuckoo search algorithm
Author NameAffiliationE-mail
XU Xiaoqin State Grid HBEPC Ltd.Economic & Technology Research Institute, Wuhan 430077, China  
WANG Bo State Grid HBEPC Ltd.Economic & Technology Research Institute, Wuhan 430077, China  
ZHAO Hongsheng* State Grid HBEPC Ltd.Economic & Technology Research Institute, Wuhan 430077, China 183575350@qq.com 
DU Zhi State Grid HBEPC Ltd.Economic & Technology Research Institute, Wuhan 430077, China  
YANG Dongjun State Grid HBEPC Ltd.Economic & Technology Research Institute, Wuhan 430077, China  
LIU Jun School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China  
LIU Yungang School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China  
HU Po School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China  
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Abstract:In order to further improve the optimal allocation of power system resources, strengthen the coordination among voltage levels and reduce the economic cost of power grid operation, this paper extends the optimization of single-voltage distribution network structure to two-voltage level and proposes a two-voltage level distribution network reconfiguration optimization method. Taking active power loss, voltage deviation and load balance as the objective functions, while satisfying the operation conditions of each voltage level power grid, coordination constraints such as power supply reliability constraints of each voltage level and line load rate constraints are introduced, and a cuckoo search algorithm is used for optimization. Considering its slow convergence rate and convergence rate in the later stage, the simulated annealing algorithm is introduced to improve the global and local search ability of the algorithm. The example shows that the method proposed in this paper is feasible and effective. This work is supported by National High-tech R & D Program of China (863 Program) (No. 2015AA050101).
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