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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 被引量:24

Condition assessment method for power transformers based on fuzzy comprehensive evaluation and information fusion
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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。 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.
作者 石宜金 谭贵生 赵波 张桂莲 SHI Yijin;TAN Guisheng;ZHAO Bo;ZHANG Guilian(Lijiang Culture and Tourism College,Lijiang 674100,China;School of Automation Engineering,Northeast Electric Power University,Jilin 132012,China)
出处 《电力系统保护与控制》 EI CSCD 北大核心 2022年第21期167-176,共10页 Power System Protection and Control
基金 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)。
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 power transformer fuzzy evaluation model improved D-S evidence theory Pearson correlation coefficient analytic hierarchy process association rules
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