| 基于最优权重与雷达图的变压器状态评估 |
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| 引用本文： | 吴翔,何怡刚,张大波,张朝龙,张宁.基于最优权重与雷达图的变压器状态评估[J].电力系统保护与控制,2017,45(2):55-60. |
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| 作者姓名： | 吴翔 何怡刚 张大波 张朝龙 张宁 |
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| 作者单位： | 合肥工业大学电气与自动化工程学院，安徽 合肥 230002,合肥工业大学电气与自动化工程学院，安徽 合肥 230002,合肥工业大学电气与自动化工程学院，安徽 合肥 230002,安庆师范学院物理与电气工程学院， 安徽 安庆 246011,国网安徽电力公司检修公司，安徽 合肥 230061 |
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| 基金项目： | 国家自然科学基金(51577046);教育部科学技术研究重大项目(313018);安徽省科技计划重点项目(1301022036);国防科技计划项目(C1120110004，9140A 27020211DZ5102);安徽省自然科学基金(1608085QF157);安徽省高校优秀青年人才支持计划重点项目(gxyqZD2016207) |
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| 摘 要： | 实现更加贴近电力变压器实际运行状态的评估，对于电网合理、经济、科学安排检修具有重要意义。针对主观、客观权重单一评估或者简单将二者拟合造成整体评估片面性的问题，提出了基于最小方差理论的最优组合赋权方法，使得权重得到更加合理的分配。将雷达图法的特征量计算方法应用到变压器评估中，使得评估结果更加直观、简洁，也避免数据信息在归一化过程中的遗漏。运用该方法对实际变压器数据进行了分析，验证了方法的可行性和合理性。
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| 关 键 词： | 变压器 最小方差 组合权重 改进雷达图 状态评估 |
| 收稿时间： | 2016/1/18 0:00:00 |
| 修稿时间： | 2016/2/26 0:00:00 |
Transformer condition assessment based on optimal weight and radar map |
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| WU Xiang,HE Yigang,ZHANG Dabo,ZHANG Chaolong and ZHANG Ning.Transformer condition assessment based on optimal weight and radar map[J].Power System Protection and Control,2017,45(2):55-60. |
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| Authors: | WU Xiang HE Yigang ZHANG Dabo ZHANG Chaolong and ZHANG Ning |
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| Affiliation: | School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230002, China,School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230002, China,School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230002, China,School of Physics and Electrical Engineering, Anqing Normal University, Anqing 246011, China and State Grid Anhui Electric Power Maintenance Company, Hefei 230061, China |
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| Abstract: | Realizing the assessment closer to real operation condition of power transformer is of great significance for arranging grid maintenance reasonably, economically and scientifically. This paper proposes the optimal combination determining weights method based on the minimum variance, which could solve the problems that the subjective weight or objective weight is assessed separately or the two weights are just simply fitted causing integral assessment one-sidedness, thus makes the weights distribute more reasonably. An eigenvalue calculating algorithm of radar chart method is applied to the transformer condition assessment, which makes the results more directly and simply and also avoids the data information omission in the process of normalization. Finally, the real data of transformer is analyzed by using the proposed method, which verifies the feasibility and reasonability of the method. This work is supported by National Natural Science Foundation of China (No. 51577046), Ministry of Education Science and Technology Foundation of China (No. 313018), Anhui Provincial Science and Technology Foundation of China (No. 1301022036), National Defense Science and Technology Plan Projects (No. C1120110004 and No. 9140A27020211DZ5102), Natural Science Foundation of Anhui Province (No. 1608085QF157), and Program for Outstanding Young Talents in Colleges and Universities of Anhui Province Project (No. gxyqZD2016207). |
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| Keywords: | transformer minimum variance combination weight improved radar chart condition assessment |
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