摘要
在人工气候实验室试验数据的基础上,提出一种新的应用人工神经网络选择输电线路外绝缘的方法。这种方法利用神经网络模型映射环境条件和绝缘子闪络电压的关系,当经过训练和验证后的绝缘子人工神经网络模型建立后,就能利用此模型预测绝缘子在复杂大气环境下的闪络电压,同时,可以利用此模型分析绝缘子在不同大气环境下的电气特性及比较相同大气环境下不同绝缘子的特性,给高压输电线路外绝缘选择提供依据。
Based on the tests carried out in the artificial climate chamber, a new method of outdoor insulation coordination with the artificial neural network (ANN) is proposed. An ANN model is employed to map the ambient conditions and the flashover voltage of the insulator. After the appropriate model is established through training and validating, it can forecast the flashover voltage of the insulator in complex ambient conditions.Then, it is easy to analyze the electrical performance of the insulator in complex ambient conditions and compare the electrical performance of various insulators in complex ambient conditions.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2005年第13期155-159,共5页
Proceedings of the CSEE
基金
国家自然科学基金项目(90210026)。~~
关键词
高电压技术
绝缘配合
人工神经网络
环境信息
绝缘子
闪络电压
High voltage engineering
Outdoor coordination
Artificial neural network
Climate condition
Insulator
Flashover voltage
