基于DE-BP神经网络的电力通信设备运行状态评估

Evaluation of Operational Status of Power Communication Equipment Based on DE-BP Neural Network

为科学量化评价变电站通信设备的运行状态,提出了一种基于DE–BP神经网络的电力通信设备运行状态评估模型。针对BP神经网络收敛速度慢和泛化能力弱等问题,引入差分进化算法优化神经网络的网络参数。试验数据表明,改进后的BP神经网络评估误差较小,能有效应用于电力通信设备运行状态评估分析。

In order to scientifically quantify the operational status of communication equipment in substations,a power communication equipment operational status evaluation model based on BP neural network is proposed.In response to the problems of slow convergence speed and weak generalization ability of BP neural network,differential evolution algorithm is introduced to optimize the network parameters of the neural network.The experimental data shows that the improved BP neural network has small evaluation errors and can be effectively applied to the evaluation and analysis of the operating status of power communication equipment.