| 基于改进灰色关联分析的GIS质量评价 |
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| 引用本文： | 郝艳捧,张磊,刘远鹤,王宇,阳林,卢启付.基于改进灰色关联分析的GIS质量评价[J].电力自动化设备,2017,37(7). |
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| 作者姓名： | 郝艳捧 张磊 刘远鹤 王宇 阳林 卢启付 |
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| 作者单位： | 华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,华南理工大学 电力学院，广东 广州 510640,广东电网有限责任公司电力科学研究院，广东 广州 510080,华南理工大学 电力学院，广东 广州 510640,广东电网有限责任公司电力科学研究院，广东 广州 510080 |
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| 基金项目： | 广东电网公司科技项目(GDKJXM00000008) |
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| 摘 要： | 提出了基于改进灰色关联分析法的气体绝缘金属封闭式开关设备(GIS)质量评价方法。该方法结合熵权法和专家打分法确定各评价指标的组合权重,克服了原始灰色关联分析计算中指标均权及专家赋权的不足。然后采用改进后的灰色关联分析法对GIS进行质量评价。将组合赋权法引入灰色关联分析方法中,充分利用各指标的全部信息,有效提高了评价精度,使得评价结果更加科学、合理。
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| 关 键 词： | 气体绝缘金属封闭式开关设备 设备质量 评价指标 灰色关联分析 组合赋权 |
GIS quality evaluation based on improved grey relational analysis |
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| HAO Yanpeng,ZHANG Lei,LIU Yuanhe,WANG Yu,YANG Lin and LU Qifu.GIS quality evaluation based on improved grey relational analysis[J].Electric Power Automation Equipment,2017,37(7). |
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| Authors: | HAO Yanpeng ZHANG Lei LIU Yuanhe WANG Yu YANG Lin and LU Qifu |
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| Affiliation: | School of Electric Power, South China University of Technology, Guangzhou 510640, China,School of Electric Power, South China University of Technology, Guangzhou 510640, China,School of Electric Power, South China University of Technology, Guangzhou 510640, China,Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080, China,School of Electric Power, South China University of Technology, Guangzhou 510640, China and Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080, China |
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| Abstract: | A method based on the improved grey relational analysis is proposed for evaluating the quality of GIS(Gas Insulated Switchgear) equipment, which combines the entropy weight method with the expert scoring method, instead of the average index weight and the expert-assigned index weight adopted in the original grey relational analysis, to determine the combination weight of each evaluation index, and then applies the improved grey relational analysis to evaluate the quality of GIS equipment. By introducing the combination weighting method into the grey relational analysis, all the information of each index is fully used to effectively improve the accuracy of evaluation and make the evaluation result more scientific and reasonable. |
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| Keywords: | GIS equipment quality evaluation indexes grey relational analysis combination weighting |
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