Research on Reliability Analysis of Distribution Network Based on PSO-DBN
To solve the problem of reliability assessment of distribution networks under conditions such as missing data,the reliability of distribution network is analyzed based on particle swarm optimization-deep belief network(PSO-DBN)in view of the poor assessment effect,large computation,and low execution efficiency in the reliability assessment of distribution network.Firstly,a power data enhancement model based on generative adversarial network(GAN)is designed to improve the problems such as missing and unbalanced power data.Secondly,an optimization learning network combining deep belief network(DBN)and particle swarm optimization(PSO)model is established to obtain more accurate distribution network reliability analysis results.The proposed model is simulated and analyzed based on the IEEE 39 power node system.The simulation results show that the proposed model performs optimally.The research can provide reference for distribution network reliability assessment,management,and stable operation.
Power systemDistribution networkReliability assessmentDeep learningDeep belief network(DBN)Particle swarm optimization(PSO)Simulation analysis
NETL
NSTL
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