基于支持向量机和模糊控制的输电线路覆冰状态评估模型  

Transmission line icing condition assessment model based on SVM and fuzzy expert system

作　　者：余鲲[1] 杨俊杰[1] 楼志斌[2] 魏春娟[1] 

机构地区：[1]上海电力学院电子与信息工程学院,上海200090 [2]上海科学院,上海201203

出　　处：《电测与仪表》2016年第21期82-88,共7页Electrical Measurement & Instrumentation

基　　金：国家自然科学基金(61202369);上海市自然科学基金(14ZR1417400);上海市科技创新行动计划地方院校能力建设项目(13160500900);上海市教育委员会科研创新项目(13YZ102)

摘　　要：输电线路覆冰严重威胁着电力系统的安全运行。为提高输电线路覆冰状态评估准确率,以输电线路覆冰监测系统为基础,综合考虑监测系统的等效覆冰厚度、微气象参数以及覆冰持续时间等,提出基于支持向量机和模糊控制的输电线路覆冰状态评估模型。支持向量机实现覆冰状态的初步分类,输出无覆冰状态和有覆冰状态,针对有覆冰的状态进一步通过模糊控制评估模型对覆冰的严重程度作出准确评估,输出线路覆冰综合评估结果。实验数据验证了评估模型的准确性和可行性。Transmission line icing makes a serious threats to the safe operation of the power system. To improve the assessment accuracy rate of transmission line icing condition,based on the online monitoring system of transmission line icing condition,this paper proposes a transmission line icing condition assessment model via support vector machine（ SVM） and fuzzy expert system by considering equivalent ice thickness,micro-meteorological parameters and icing duration. Support vector machine achieves preliminary assessment of the icing status and outputs lines icing status to determine whether the icing exists. Furthermore,in order to make an accurate assessment of the severity of icing condition,this paper uses fuzzy expert system to continue the work. Monitoring data verified the accuracy and feasibility of the method.

关 键 词：输电线路 覆冰评估 支持向量机 模糊控制 

分 类 号：TM726[电气工程—电力系统及自动化]