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龚浩,罗传仙,王雅倩,等. 一种关联层次赋权与离散模糊数的变电设备评估方法[J]. 科学技术与工程, 2021, 21(4): 1394-1401.
Gong Hao,Luo Chuanxian,Wang Yaqian,et al.Evaluation Model of Substation Equipment Based on Hierarchical weighting and Discrete Fuzzy Number Theory[J].Science Technology and Engineering,2021,21(4):1394-1401.
一种关联层次赋权与离散模糊数的变电设备评估方法
Evaluation Model of Substation Equipment Based on Hierarchical weighting and Discrete Fuzzy Number Theory
投稿时间:2020-04-23  修订日期:2020-11-03
DOI:
中文关键词:  智能电网  油浸式变压器  离散模糊矩阵  状态评价
英文关键词:Smart grid  oil-immersed transformer  discrete fuzzy matrix  state evaluation
基金项目:工信部智能制造专项_输变电设备远程运维标 准研究及试验验证项目(524625180050)
                 
作者单位
龚浩 南瑞集团国网电力科学研究院有限公司
罗传仙 南瑞集团国网电力科学研究院有限公司
王雅倩 武汉大学
许晓路 南瑞集团国网电力科学研究院有限公司
周正钦 南瑞集团国网电力科学研究院有限公司
倪辉 南瑞集团国网电力科学研究院有限公司
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中文摘要:
      为了解决变压器状态评价指标的单一性导致其状态评价可靠性低等问题,提出一种基于层次赋权与离散模糊数的变压器状态评估模型。首先,通过构建层次分析法赋权模型,关联变压器设备多个关键指标形成评价体系。进一步地,为了更合理地区分评价等级,降低不同等级之间的交差性和相似性,采用多等级的模糊语言描述变压器状态,将基于多指标的设备评价通过离散模糊矩阵映射到隶属度空间,再根据隶属度原则确定设备状态。最后,在实际案例上测试,结果表明模型评价等级基本与实际变压器状态一致,验证了基于上述模型的评价结果能够合理反应变压器状态,进而为电力系统设备评价决策、检修、延长设备使用寿命等提供参考依据。
英文摘要:
      In order to solve the problem that the unity of the transformer state evaluation index leading to low reliability of the transformer state evaluation, a transformer state evaluation model based on hierarchical weighting and discrete fuzzy numbers is proposed. First, an evaluation system is formed by constructing an analytic hierarchy model to correlate multiple key indicators of transformer equipment. Furthermore, in order to distinguish the evaluation grades more reasonably and reduce the intersection and similarity between different grades, multi-level fuzzy language was used to describe the state of the transformer, and the equipment evaluation based on multi-index was mapped to the membership space. Finally, the equipment status was determined according to the principle of membership. Finally, the test on actual cases shows that the model evaluation level is basically consistent with the actual transformer state. It is verified that the evaluation results based on the above model can reasonably reflect the transformer state, thus providing a reference for power system equipment evaluation, decision-making, maintenance, and extension of equipment life.
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