Keywords
distribution network reconstruction; genetic algorithm; k-nearest neighbor algorithm; topology constraint
Abstract
In the case of widespread access to distributed generation, in order to meet the radial topology constraints of the network, the distribution network topology constraints and other constraints are considered, and a distribution network reconfiguration method based on a k-NN hybrid genetic algorithm is proposed.First, the minimum network loss, load balance, and the minimum number of circuit breaker actions are used as the objective function.The mathematical model of distribution network reconfiguration is constructed under the constraints of the power flow equation, load balance, voltage ceiling, and power ceiling.The k-NN algorithm is used to ensure that the chromosomes always meet the radial constraints of the distribution network topology in crossover and mutation.Finally, a hybrid genetic algorithm based on the k-NN algorithm is established to solve the mathematical model and realize the topology reconstruction of the distribution network.Simulation results show that the proposed method can solve the reconstruction scheme and has certain applicability.
DOI
10.19781/j.issn.1673-9140.2025.05.004
First Page
36
Last Page
45
Recommended Citation
LI, FU; ZHANG, Zhi; DING, Jiawei; and WANG, Kun
(2025)
"Research on distribution network reconstruction based on k-NN hybrid genetic algorithm,"
Journal of Electric Power Science and Technology: Vol. 40:
Iss.
5, Article 4.
DOI: 10.19781/j.issn.1673-9140.2025.05.004
Available at:
https://jepst.researchcommons.org/journal/vol40/iss5/4
