基于直觉正态云模型和最优变权的变压器绝缘状态评估
电力变压器绝缘状态评估过程中随机性和不确定性共存,基于隶属度描述的云模型难以刻画该过程中的非隶属度和犹豫度。为此,提出一种基于直觉正态云模型和最优变权的变压器绝缘状态评估策略。根据绝缘状态评估指标体系,基于复合二元语义实现了主观评估标度的定量转换,确定了各状态量的最优变权,在合理给定云模型数字特征的基础上,采用直觉正态云模型描述绝缘状态评估中的模糊性、随机性和犹豫度,通过云运算确定绝缘状态及故障类型。实例分析表明该方法可行有效,为变压器绝缘状态在线检修工作提供了一种新思路。...
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| Published in | 电测与仪表 Vol. 53; no. 6; pp. 42 - 50 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
国网四川省电力公司内江供电公司,四川内江,641000%西南交通大学电气工程学院,成都,610031
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1390 |
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| Summary: | 电力变压器绝缘状态评估过程中随机性和不确定性共存,基于隶属度描述的云模型难以刻画该过程中的非隶属度和犹豫度。为此,提出一种基于直觉正态云模型和最优变权的变压器绝缘状态评估策略。根据绝缘状态评估指标体系,基于复合二元语义实现了主观评估标度的定量转换,确定了各状态量的最优变权,在合理给定云模型数字特征的基础上,采用直觉正态云模型描述绝缘状态评估中的模糊性、随机性和犹豫度,通过云运算确定绝缘状态及故障类型。实例分析表明该方法可行有效,为变压器绝缘状态在线检修工作提供了一种新思路。 |
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| Bibliography: | The randomness and uncertainty coexist in the condition assessment process of power transformer,it is difficult for the cloud model described by membership degree to portray the non-membership degree and hesitancy degree. Therefore,an insulation condition assessment strategy based on intuitionistic normal cloud model with optimal variable weights is proposed,which realizes the translation form qualitative to quantitative scale by using a compound binary semantic method and optimal variable weights of each state quantity. An intuitionistic normal cloud model with reasonable digital characteristics is proposed to describe the fuzziness,randomness and hesitation in the process of insulation condition assessment. Then,the whole insulation condition and fault types of transformer are determined via cloud aggregation. Local case study proves the feasibility and the effeteness of the strategy proposed,which provides a new method for online insulation condition maintenance of power transformer. 23-1202/TH Li Mengdong, |
| ISSN: | 1001-1390 |