电力系统及其自动化学报2017，Vol.29Issue(1)：24-29,6.DOI:10.3969/j.issn.1003-8930.2017.01.005
一种新的短路电流预测方法
A Novel Prediction Method of Short-circuit Current
摘要
Abstract
In order to to predict the short-circuit current in the smart grid quickly,accurately,and efficiently,a novel method is put forward based on adaptive chaotic particle swarm-back propagation(BP)neural network model. The pro⁃posed method uses adaptive chaotic particle swarm algorithm to optimize the weights and threshold between each layer in the BP neural network. By taking the output of the generator and load in power grid as the input characteristics of BP neural network,and the short-circuit current values at each node as the output characteristics,a prediction model is set up with the consideration of various influencing factors of the short-circuit current. The results of numerical example show that the proposed method is superior to other methods in terms of prediction precision and speed,which can pro⁃vide technical support for the decision-making in intelligent dispatching.关键词
短路电流/自适应混沌粒子群-反向传播神经网络/负荷/预测Key words
short-circuit current/adaptive chaotic particle swarm-back propagation neural network/load/prediction分类
信息技术与安全科学引用本文复制引用
黄旭,何洪英,罗滇生,曹一家,何志军..一种新的短路电流预测方法[J].电力系统及其自动化学报,2017,29(1):24-29,6.基金项目
国家自然科学基金资助项目 （）
