摘要
智能电网的发展对继电保护技术提出新的挑战,要求更高的准确性和响应速度。而传统继电保护方法在处理复杂电网故障时面临限制,迫切需要新的技术解决方案。因此,文章以支持向量机(Support Vector Machine,SVM)为基础,探索一种新的智能电网继电保护方法。研究构建一个新的基于SVM的继电保护故障诊断模型,相比于传统SVM网络模型,该模型能够更准确地识别故障类型。通过进行模拟实验,验证该模型在继电保护中的有效性,旨在进一步提高智能电网在面对复杂故障情况时的响应速度和准确性。
The development of smart grids poses new challenges to relay protection technology,requiring higher accuracy and response speed.However,traditional relay protection methods face limitations in dealing with complex power grid faults,and there is an urgent need for new technological solutions.Therefore,this study explores a new intelligent grid relay protection method based on Support Vector Machine(SVM).This study constructs a new SVM based relay protection fault diagnosis model,which can more accurately identify fault types compared to traditional SVM network models.The effectiveness and accuracy of the model in relay protection were verified through simulation experiments.This study aims to further improve the response speed and accuracy of smart grids in the face of complex fault situations.
作者
赵中众
张帆
ZHAO Zhongzhong;ZHANG Fan(State Grid Shaanxi Electric Power Co.,Ltd.,Yan’an Power Supply Company,Yan’an 716000,China)
出处
《通信电源技术》
2024年第5期246-248,共3页
Telecom Power Technology
