摘要
状态评估是电力设备状态检修及健康管理的关键环节。以220 kV油浸式电力变压器为研究对象,构建了一种基于最优云熵改进可拓云理论的变压器本体绝缘状态评估模型。首先,针对绝缘状态等级边界的随机性与模糊性问题,提出使用可拓云理论来构建状态评估的基础理论框架;然后,在充分考虑等级划分分明性与模糊性特点的基础上,提出一种可自适应评估对象的最优云熵计算方法,实现了对传统可拓云理论的改进;最后,针对单一赋权方法存在的不足,构建了一种基于模糊集值统计法与熵权法的主客观组合赋权模型,实现了指标权重基于信息变化程度的动态调整。实例研究表明,相较于传统理论,该文所提方法能够有效处理变压器状态评估中的不确定性因素,其评估结果更接近设备的真实状态,具备较高的应用可行性。
Condition assessment is the key link in the condition maintenance and health management of the power equipment.Taking 220 kV oil-immersed transformers as the research object,we proposed an insulation condition assessment method based on improved extension cloud theory with optimal cloud entropy.Firstly,aiming at the randomness and fuzziness problem of insulation condition level boundary information,we constructed a basic theoretical framework of condition assessment based on extension cloud theory.Afterwards,considering the clarity and ambiguity of the grade division,we proposed a calculation method of optimal cloud entropy that can be adaptive to the evaluation object,and realized the improvement of the traditional extension cloud theory.Finally,in view of the shortcomings of subjective weighting method and objective weighting method,a combination weighting model based on fuzzy set-valued statistical method and entropy weight method was constructed to realize the dynamic adjustment of the index weight based on the degree of information change.Case studies and comparison analysis with traditional methods show that the proposed method can be adopted to effectively deal with the uncertainty factors in the insulation condition assessment,and its evaluation results are closer to the actual state of equipment,so the proposed method has a certain application feasibility.
作者
刘云鹏
许自强
付浩川
李刚
高树国
LIU Yunpeng;XU Ziqiang;FU Haochuan;LI Gang;GAO Shuguo(Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense,North China Electric Power University,Baoding 071003,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China;School of Computer and Control Engineering,North China Electric Power University,Baoding 071003,China;State Grid Hebei Electric Power Research Institute,Shijiazhuang 050021,China)
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2020年第2期397-405,共9页
High Voltage Engineering
基金
国家电网公司科技项目(5204DY170010).
关键词
变压器
绝缘状态评估
可拓云理论
最优云熵
组合权重
transformer
insulation condition assessment
extension cloud theory
optimal cloud entropy
combination weight
