电测与仪表2025，Vol.62Issue(11)：26-32,7.DOI:10.19753/j.issn1001-1390.2025.11.003
考虑不同天气影响OPGW电能损耗预测研究
Research on power loss prediction of OPGW considering different weather effects
摘要
Abstract
At present,optical fiber composite overhead ground wire(OPGW)is widely used in high-voltage trans-mission lines in power system of China.Accurately predicting the power loss of OPGW can improve the reliability and economy of power system in China,better optimize the design and operation of the power system,reduce power loss caused by weather changes,and thus improving the efficiency and stability of the entire power system.This paper proposes a prediction method for OPGW power loss considering different weather effects.The weather forecast data and load forecast data are included in the prediction model,and the comprehensive impact of different weather condi-tions on power loss is considered.Multiple intelligent algorithms are combined with long short-term memory(LSTM)neural network for prediction comparison,and it is found that the dung beetle optimizer-long short-term memory(DBO-LSTM)algorithm has higher prediction accuracy and faster convergence speed.Finally,ATP-EMTP software is used to model and simulate the predicted line,and the simulation results are compared with the predicted results.The relative error between the two is 5.65％,verifying that the prediction model can accurately predict the power loss of the case line and can truly and effectively reflect the OPGW power loss situation under different weather conditions.关键词
天气/光纤复合架空地线/架空地线/电能损耗/预测算法Key words
weather/OPGW/overhead ground wire/power loss/prediction algorithm分类
动力与电气工程引用本文复制引用
魏勇,杨会峰,王永强,张铁峰..考虑不同天气影响OPGW电能损耗预测研究[J].电测与仪表,2025,62(11):26-32,7.基金项目
国网河北省电力有限公司科技项目(kj2023-094) （kj2023-094）
