变压器励磁涌流灰色识别研究
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摘要
由于变压器励磁涌流的影响,使得变压器差动保护较难正确动作.为了保证差动保护能够正确动作,必须对变压器内部故障电流和励磁涌流进行正确识别.基于变压器励磁涌流所具有的特征,将灰色系统方法应用于励磁涌流的识别.首先将多个励磁涌流判据(指标)进行综合,通过分析构建各指标的白化权函数,然后应用灰色聚类方法得到识别结果.与实际测量结果的比较验证了该综合判据的正确性和灰色聚类方法的有效性.
Due to the influence of transformer magnetizing inrush current,the differential protections are difficult to operate correctly. In order to ensure that the differential protection can operate correctly,the internal fault current and inrush current of the transformer must be correctly identified. Based on the characteristics of magnetizing inrush current,the grey system method is applied to the identification of inrush current in this research. Multiple inrush current criteria(indicators)are synthesized at first,and the whitening weight function of each indicator is constructed.Then,a gray clustering method is used to obtain the recognition result. The comparison with the actual measurement results verifies the correctness of the comprehensive criteria and the effectiveness of the gray clustering method.
Due to the influence of transformer magnetizing inrush current,the differential protections are difficult to operate correctly. In order to ensure that the differential protection can operate correctly,the internal fault current and inrush current of the transformer must be correctly identified. Based on the characteristics of magnetizing inrush current,the grey system method is applied to the identification of inrush current in this research. Multiple inrush current criteria(indicators)are synthesized at first,and the whitening weight function of each indicator is constructed.Then,a gray clustering method is used to obtain the recognition result. The comparison with the actual measurement results verifies the correctness of the comprehensive criteria and the effectiveness of the gray clustering method.
引文
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[16]王新普,周想凌,邢杰,等.一种基于改进灰色BP神经网络组合的光伏出力预测方法[J].电力系统保护与控制,2016,44(18):81-87.
[17]周名煜,谢宁,王承民.基于灵敏度和灰色关联度的配电网运行方式变权重评估方法[J].电力系统保护与控制,2017,45(13):130-137.
[18]周辛南,谢枫,傅军,等.基于德尔菲法的电力大客户综合价值评价模型[J].电测与仪表,2016,53(15A):174-177.
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[20]皇甫汉聪,肖招娣,余永忠.基于熵权法与改进的PCA聚类算法的电力客户价值分类与应用[J].现代电子技术,2017,40(7):183-186.
[2]王立大,段周朝.变压器励磁涌流引起保护误动分析[J].电力系统保护与控制,2010,38(10):138-140,144.
[3]郝治国,张保会,褚云龙.变压器励磁涌流鉴别技术的现状和发展[J].变压器,2005,42(7):23-27.
[4]葛宝明,王祥珩,苏鹏声,等.电力变压器的励磁涌流判据及其发展方向[J].电力系统自动化,2003,27(22):1-6.
[5] YANG L. An approach to identify magnettizing inrush currents and its simulation[C]//Conference on Electronic&Mechanical Engineering and Information Technology,August 12-14,2011,Harbin,China. US:IEEE,2011:10.1109/EMEIT.2011.6023588.
[6]邓聚龙.灰理论基础[M].武汉:华中理工大学出版社,2002.
[7]刘思峰,谢乃明.灰色系统理论及其应用[M].北京:科学出版社,2008.
[8]王明东,赵国生.灰色系统理论及其在电力系统中的应用[M].北京:中国电力出版社,2016.
[9]王明东,禹丽爽.基于灰色局势决策的变电所电气主接线方案选择[J].电力系统保护与控制,2011,39(7):79-82,88.
[10]张霞,谢卫,魏巍.基于灰色理论的电力系统负荷预测模型[J].计算机辅助工程,2007,16(4):19-22.
[11]李晓彤,陈英杰,曾鸣,等.区间数-灰靶决策模型在低碳电网规划评价中的应用[J].水电能源科学,2012,30(12):184-186.
[12]雷春燕,刘从法,罗日成.基于多目标智能加权灰靶理论的电力变压器状态维修决策[J].电力科学与技术学报,2013,28(2):85-88.
[13]周依希,李晓明,瞿合祚,等.基于AHP-灰色关联度的复杂电网节点综合脆弱性评估[J].电力系统保护与控制,2018,46(23):86-93.
[14] LICY,HUANGTL. OptimaldesignofthegreypredictionPIDcontrollerforpowersystemstabilizersbyevolutionaryprogramming[C]//Proceedings of IEEE International Conference on Networking,Sensing and Control,March 21-23,2004,Taipei. US:IEEE,2004:10.1109/ICNSC.2004.1297147.
[15]程德才,赵书强,于静.影响配电网可靠性相关因素的灰色关联分析[J].供用电,2008,25(5):18-20.
[16]王新普,周想凌,邢杰,等.一种基于改进灰色BP神经网络组合的光伏出力预测方法[J].电力系统保护与控制,2016,44(18):81-87.
[17]周名煜,谢宁,王承民.基于灵敏度和灰色关联度的配电网运行方式变权重评估方法[J].电力系统保护与控制,2017,45(13):130-137.
[18]周辛南,谢枫,傅军,等.基于德尔菲法的电力大客户综合价值评价模型[J].电测与仪表,2016,53(15A):174-177.
[19]周建平,林韩,温步瀛.基于层次分析法与灰关联理论的输电网规划方案综合决策[J].电网与清洁能源,2011,27(9):66-70.
[20]皇甫汉聪,肖招娣,余永忠.基于熵权法与改进的PCA聚类算法的电力客户价值分类与应用[J].现代电子技术,2017,40(7):183-186.