基于模糊物元法的电力电容器的绝缘状态评估
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摘要
针对电力电容器绝缘状态评估的指标参数具有不确定性和模糊性的特点,提出基于模糊物元法的状态评估模型。首先,通过电力电容器绝缘状态在线监测技术,提取了与电力电容器绝缘状态相关的特征量,包括电量监测法中三相不平衡电压、实际运行电压、电容量、介质损耗因数以及非电量监测法中的油色谱三比值,建立电力电容器绝缘状态评估的指标体系;按等规聚丙烯薄膜的结晶度,将电力电容器绝缘状态划分为正常、老化、严重等3级状态。其次,应用"乘法"集成法对层次分析法和最大熵权技术法进行处理,获取了主客观综合赋权系数。然后,对特征量通过从隶属度计算得到模糊量值,并用模糊物元表征。最后,评估未知绝缘状态电力电容器与正理想解的关联度,判断其绝缘状态。实例分析验证了基于模糊物元法的状态评估模型能够有效地评估电力电容器的绝缘状态。
Aiming at the uncertainty and ambiguity of the index parameters of power capacitor insulation state evaluation,a state estimation model based on fuzzy matter-element method is proposed. Firstly,through the on-line monitoring technology of the power capacitor insulation state,the characteristic quantities related to the insulation state of the power capacitor are extracted,including the three-phase unbalanced voltage,the actual operating voltage,the capacitance,the dielectric loss factor and the non-electricity monitoring method in the electricity monitoring method. The oil chromatography three ratios establish an indicator system for the evaluation of the insulation state of power capacitors. Then,according to the crystallinity of the isotactic polypropylene film,the insulation state of the power capacitor is divided into three levels of normal,aging,and severe. Secondly,the multiplication integration method is applied to process the analytic hierarchy process and the maximum entropy weight technology method,and the subjective and objective comprehensive weighting coefficients are obtained. Then,the feature quantity is obtained by calculating the blur quantity value from the membership degree,and is characterized by the fuzzy matter element. Finally,the correlation between the unknown insulated state power capacitor and the positive ideal solution is evaluated to determine its insulation state. The example analysis verifies that the state estimation model based on fuzzy matter-element method can effectively evaluate the insulation state of power capacitors
Aiming at the uncertainty and ambiguity of the index parameters of power capacitor insulation state evaluation,a state estimation model based on fuzzy matter-element method is proposed. Firstly,through the on-line monitoring technology of the power capacitor insulation state,the characteristic quantities related to the insulation state of the power capacitor are extracted,including the three-phase unbalanced voltage,the actual operating voltage,the capacitance,the dielectric loss factor and the non-electricity monitoring method in the electricity monitoring method. The oil chromatography three ratios establish an indicator system for the evaluation of the insulation state of power capacitors. Then,according to the crystallinity of the isotactic polypropylene film,the insulation state of the power capacitor is divided into three levels of normal,aging,and severe. Secondly,the multiplication integration method is applied to process the analytic hierarchy process and the maximum entropy weight technology method,and the subjective and objective comprehensive weighting coefficients are obtained. Then,the feature quantity is obtained by calculating the blur quantity value from the membership degree,and is characterized by the fuzzy matter element. Finally,the correlation between the unknown insulated state power capacitor and the positive ideal solution is evaluated to determine its insulation state. The example analysis verifies that the state estimation model based on fuzzy matter-element method can effectively evaluate the insulation state of power capacitors
引文
1咸日常,李其伟,孙学锋,等.基于状态量监测的电力电容器故障诊断技术的研究[J].电力电容器与无功补偿,2018,39(3):21-25Xian Richang,Li Qiwei,Sun Xuefeng,et al.Study on remote study on fault diagnosis technology of power capacitor based on condition quantity monitoring[J].Power Capacitor&Reactive Power Compensation,2018,39(3):21-25
2张闻勤,金伟安.基于Zigbee无线传感网络的电力电容器远程故障诊断研究[J].电力电容器与无功补偿,2017,38(3):32-35Zhang Wenqin,Jin Weian.Study on remote fault diagnosis of power capacitor based on zigbee wireless sensor network[J].Power Capacitor&Reactive Power Compensation,2017,38(3):32-35
3唐志国,蒋佟佟,刘昌标,等.高频电流法检测电容器局部放电的抗干扰研究[J].电力电容器与无功补偿,2016,37(5):67-72Tang Zhiguo,Jiang Dongdong,Liu Changbiao,et al.Anti-interference study of partial discharge of capacitor by high frequency current detection method[J].Power Capacitor&Reactive Power Compensation,2016,37(5):67-72
4王瑞闯,肖仕武.容性设备介质损耗在线监测方法的研究及几点建议[J].电力电容器与无功补偿,2009,30(4):44-49Wang Ruichuang,Xiao Shiwu.Research of on-Iine monitoring methods of dielectric loss for capacitive equipment and some suggestions[J].Power Capacitor&Reactive Power Compensation,2009,30(4):44-49
5 Zhang Q,Hu Z,Tang Z,et al.Design of capacitor temperature online detection system based on wireless signal transmission[J].Computer Measurement&Control,2012,20(7):1790-1759.
6朱建军,王赟中,崔绍平,等.红外技术诊断高压电气设备内部缺陷[J].高电压技术,2004,22(7):34-36Zhu Jianjun,Wang Yunzhong,Cui Shaoping,et al.The application of infrared diagnosis technology in diagnosis of the high voltage electrical equipment internal defect[J].High Voltage Engineering,2004,22(7):34-36
7 Lin Y,Chen L.Research of online monitoring of power capacitor dielectric loss[J].Electrical&Energy Management Technology,2015,37(8):26-31
8黄予春,曹成涛,顾海,等.基于云计算和深度学习的电力电容器故障诊断和识别[J].电力电容器与无功补偿,2018,39(4):71-75Huang Yuchun,Cao Chengtao,Gu Hai,et al.Fault diagnosis and identification of power capacitors based on cloud computing and depth study[J].Power Capacitor&Reactive Power Compensation,2018,39(4):71-75
9 Su Z M,Zhao T,Liu Y P,et al.The study of capacitive equipment fault location based on the relative measurement method[J].Advanced Materials Research,2013,27(5):663-668
10 Pan P M,Lian H,Hui F X,et al.Calculation and analysis of three-phase transformer short-circuit current[J].Advanced Materials Research,2014,31(5):986-987
11秦楠.交互式电力电容器绝缘电阻的远程测试和监控系统研究[J].电力电容器与无功补偿,2018,39(1):57-61Qin Nan.Study on remote test of insulation resistance and monitoring system of interactive power capacitor[J].Power Capacitor&Reactive Power Compensation,2018,39(1):57-61
12张宁,蔡金锭.基于模糊物元-逼近理想点法的油纸绝缘状态评估[J]电工技术学报,2018,21(2):6-14Zhang Ning,Can Jinding.Evaluation of oil-paper insulation condition based on fuzzy matter element-TOPSIS method[J].Transaction of China Electrotechnical Society,2018,21(2):6-14
13程璐,漆乐俊,姚成,等.电热老化对聚丙烯薄膜形态及击穿特性的影响[J].电力电容器与无功补偿,2015,36(6):69-72Cheng Lu,Qi Lejun,Yao Cheng,et al.Influence of electric-thermal aging on BOPP film morphology and breakdown performancer[J].Power Capacitor&Reactive Power Compensation,2015,36(6):69-72
14彭波,徐梦蕾,王荀,等.自愈式电容器加速电老化试验及寿命估计[J].科学技术与工程,2017,17(31):239-244Peng Bo,Xu Menglei,Wang Xun,et al.Accelerated electrical aging experiment of self-healing capacitor and its lifetime evaluation[J].Science Technology&Engineering,2017,17(31):239-244
15尹婷,王子建,侯智剑,等.环境温度及施加电压对自愈式电力电容器温升和温度场分布的影响[J].科学技术与工程,2016,16(1):193-199Yin Ting,Wang Zijian,Huo Zhijian H,et al.Influence of ambient temperature and applied voltage on the temperature rise and temperature distribution of self-healing power capacitor[J].Science Technology&Engineering,2016,16(1):193-199
16李国峰.电气绝缘用薄膜第3部分:电容器用双轴定向聚丙烯薄膜:GB/T 13542.3-2006[S].北京:中国标准出版社,2006Li Guofeng.Films for electrical insulation-Part 3:Biaxially oriented polypropylene film for capacitors:GB/T 13542.3-2006[S].Beijing:China Standard Press,2006
17李存斌,李小鹏,高坡.基于变权模糊物元模型的变压器状态实时评估[J].广东电力,2015,28(11):66-73Li Cunbin,Li Xiaopeng,Gao Po.Real-time evaluation on transformer state based on variable weight fuzzy matter-element model[J].Guangdong Electric Power,2015,28(11):66-73
18唐摇影,黄显峰,方国华.基于组合权重的模糊物元评价模型在丰县水质评价中的应用[J].水电能源科学,2014,32(6):37-41Tang Yaoying,Huang Xianfeng,Fang Guohua.Application of fuzzy matter-element modei based on combined weight in evaluation of water quality[J].Water Resources and Quality,2014,32(6):37-41
19端木林楠,李雨,张怡,等.一起35 kV并联电容器爆炸事故分析及处理[J].高压电器,2015,51(2):146-151Duanmu Linnan,Li Yu,Zhang Yi,et al.Analysis and treatment of a 35 k V shunt capacitor explosion accident[J].High Voltage Apparatus,2015,51(2):146-151
2张闻勤,金伟安.基于Zigbee无线传感网络的电力电容器远程故障诊断研究[J].电力电容器与无功补偿,2017,38(3):32-35Zhang Wenqin,Jin Weian.Study on remote fault diagnosis of power capacitor based on zigbee wireless sensor network[J].Power Capacitor&Reactive Power Compensation,2017,38(3):32-35
3唐志国,蒋佟佟,刘昌标,等.高频电流法检测电容器局部放电的抗干扰研究[J].电力电容器与无功补偿,2016,37(5):67-72Tang Zhiguo,Jiang Dongdong,Liu Changbiao,et al.Anti-interference study of partial discharge of capacitor by high frequency current detection method[J].Power Capacitor&Reactive Power Compensation,2016,37(5):67-72
4王瑞闯,肖仕武.容性设备介质损耗在线监测方法的研究及几点建议[J].电力电容器与无功补偿,2009,30(4):44-49Wang Ruichuang,Xiao Shiwu.Research of on-Iine monitoring methods of dielectric loss for capacitive equipment and some suggestions[J].Power Capacitor&Reactive Power Compensation,2009,30(4):44-49
5 Zhang Q,Hu Z,Tang Z,et al.Design of capacitor temperature online detection system based on wireless signal transmission[J].Computer Measurement&Control,2012,20(7):1790-1759.
6朱建军,王赟中,崔绍平,等.红外技术诊断高压电气设备内部缺陷[J].高电压技术,2004,22(7):34-36Zhu Jianjun,Wang Yunzhong,Cui Shaoping,et al.The application of infrared diagnosis technology in diagnosis of the high voltage electrical equipment internal defect[J].High Voltage Engineering,2004,22(7):34-36
7 Lin Y,Chen L.Research of online monitoring of power capacitor dielectric loss[J].Electrical&Energy Management Technology,2015,37(8):26-31
8黄予春,曹成涛,顾海,等.基于云计算和深度学习的电力电容器故障诊断和识别[J].电力电容器与无功补偿,2018,39(4):71-75Huang Yuchun,Cao Chengtao,Gu Hai,et al.Fault diagnosis and identification of power capacitors based on cloud computing and depth study[J].Power Capacitor&Reactive Power Compensation,2018,39(4):71-75
9 Su Z M,Zhao T,Liu Y P,et al.The study of capacitive equipment fault location based on the relative measurement method[J].Advanced Materials Research,2013,27(5):663-668
10 Pan P M,Lian H,Hui F X,et al.Calculation and analysis of three-phase transformer short-circuit current[J].Advanced Materials Research,2014,31(5):986-987
11秦楠.交互式电力电容器绝缘电阻的远程测试和监控系统研究[J].电力电容器与无功补偿,2018,39(1):57-61Qin Nan.Study on remote test of insulation resistance and monitoring system of interactive power capacitor[J].Power Capacitor&Reactive Power Compensation,2018,39(1):57-61
12张宁,蔡金锭.基于模糊物元-逼近理想点法的油纸绝缘状态评估[J]电工技术学报,2018,21(2):6-14Zhang Ning,Can Jinding.Evaluation of oil-paper insulation condition based on fuzzy matter element-TOPSIS method[J].Transaction of China Electrotechnical Society,2018,21(2):6-14
13程璐,漆乐俊,姚成,等.电热老化对聚丙烯薄膜形态及击穿特性的影响[J].电力电容器与无功补偿,2015,36(6):69-72Cheng Lu,Qi Lejun,Yao Cheng,et al.Influence of electric-thermal aging on BOPP film morphology and breakdown performancer[J].Power Capacitor&Reactive Power Compensation,2015,36(6):69-72
14彭波,徐梦蕾,王荀,等.自愈式电容器加速电老化试验及寿命估计[J].科学技术与工程,2017,17(31):239-244Peng Bo,Xu Menglei,Wang Xun,et al.Accelerated electrical aging experiment of self-healing capacitor and its lifetime evaluation[J].Science Technology&Engineering,2017,17(31):239-244
15尹婷,王子建,侯智剑,等.环境温度及施加电压对自愈式电力电容器温升和温度场分布的影响[J].科学技术与工程,2016,16(1):193-199Yin Ting,Wang Zijian,Huo Zhijian H,et al.Influence of ambient temperature and applied voltage on the temperature rise and temperature distribution of self-healing power capacitor[J].Science Technology&Engineering,2016,16(1):193-199
16李国峰.电气绝缘用薄膜第3部分:电容器用双轴定向聚丙烯薄膜:GB/T 13542.3-2006[S].北京:中国标准出版社,2006Li Guofeng.Films for electrical insulation-Part 3:Biaxially oriented polypropylene film for capacitors:GB/T 13542.3-2006[S].Beijing:China Standard Press,2006
17李存斌,李小鹏,高坡.基于变权模糊物元模型的变压器状态实时评估[J].广东电力,2015,28(11):66-73Li Cunbin,Li Xiaopeng,Gao Po.Real-time evaluation on transformer state based on variable weight fuzzy matter-element model[J].Guangdong Electric Power,2015,28(11):66-73
18唐摇影,黄显峰,方国华.基于组合权重的模糊物元评价模型在丰县水质评价中的应用[J].水电能源科学,2014,32(6):37-41Tang Yaoying,Huang Xianfeng,Fang Guohua.Application of fuzzy matter-element modei based on combined weight in evaluation of water quality[J].Water Resources and Quality,2014,32(6):37-41
19端木林楠,李雨,张怡,等.一起35 kV并联电容器爆炸事故分析及处理[J].高压电器,2015,51(2):146-151Duanmu Linnan,Li Yu,Zhang Yi,et al.Analysis and treatment of a 35 k V shunt capacitor explosion accident[J].High Voltage Apparatus,2015,51(2):146-151