引用本文:石宜金,谭贵生,赵 波,等.基于模糊综合评估模型与信息融合的电力变压器状态评估方法[J].电力系统保护与控制,2022,50(21):167-176.
SHI Yijin,TAN Guisheng,ZHAO Bo,et al.Condition assessment method for power transformers based on fuzzy comprehensiveevaluation and information fusion[J].Power System Protection and Control,2022,50(21):167-176
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基于模糊综合评估模型与信息融合的电力变压器状态评估方法
石宜金1,谭贵生1,赵 波2,张桂莲1
(1.丽江文化旅游学院,云南 丽江 674100;2.东北电力大学自动化工程学院,吉林 吉林 132012)
摘要:
针对电力变压器状态评估中存在多特征指标和多故障类型问题,提出一种基于模糊综合评估模型和皮尔逊相关系数的改进D-S证据理论的变压器状态评估方法。建立了变压器状态评估体系,引入层次分析方法和改进的三角梯形隶属函数确定特征指标的基本概率。基于皮尔逊相关系数的改进D-S证据理论融合不同特征指标以评判变压器综合状态评估。经过实例分析,该方法的评价结果与变压器实际运行状态一致,其准确率达到95.83%,验证了该方法的合理性和可行性。该方法对变压器状态评估具有一定的参考价值。
关键词:  电力变压器  模糊评估模型  改进D-S证据理论  皮尔逊相关系数  层次分析法  关联规则
DOI:DOI: 10.19783/j.cnki.pspc.220008
分类号:
基金项目:国家自然科学基金项目资助(61901101);云南省教育厅研究基金项目资助(2022J1234);丽江市科技局项目资助(2020ljhb01,2020ZX10)
Condition assessment method for power transformers based on fuzzy comprehensiveevaluation and information fusion
SHI Yijin1, TAN Guisheng1, ZHAO Bo2, ZHANG Guilian1
(1. Lijiang Culture and Tourism College, Lijiang 674100, China; 2. School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China)
Abstract:
There is a problem of multiple characteristic indices and multiple fault types in power transformer condition evaluation. Thus a state evaluation method of a converter transformer is proposed based on a fuzzy comprehensive assessment model and improved D-S evidence theory fusion of the Pearson correlation coefficient. The transformer condition assessment system is built, and the basic probability of the state index is obtained using hierarchical analysis and an improved triangular trapezoidal membership function. The Pearson correlation coefficient is used to improve the D-S evidence theory in adopting different characteristic indices, and then the assessing result of the transformer is obtained from comprehensive evaluation. In the case analysis, the diagnostic accuracy of this method can reach 95.83% by comparing the condition assessment result and the actual operation condition of every transformer. This can validate the feasibility and rationality of the method. This method has a certain reference value for transformer state evaluation. This work is supported by the National Natural Science Foundation of China (No. 61901101).
Key words:  power transformer  fuzzy evaluation model  improved D-S evidence theory  Pearson correlation coefficient  analytic hierarchy process  association rules
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