基于灰色理论及模糊层次分析法的电能计量装置状态评估
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摘要
电能计量装置作为发电、变电、输电、配电、用电各环节贸易结算和经济技术指标考核的枢纽,其准确、稳定运行直接关系到贸易双方的经济利益。因此,有必要对电能计量装置的运行状态进行评估,达到预判止损的目的。在前人研究的基础上,对电能计量装置的状态指标和评估方法两方面内容进行了改进:采用非线性数学评分模型刻画定量状态指标,运用灰色理论对定性状态指标进行聚类分析,并基于改进层次分析法确定各指标的状态权重,最后借助加权平均模型和模糊数学理论得出状态评估结果。改进后的状态评估策略更趋完善,实用性更强,实现了对电能计量装置运行状态的全方位监督。
As a hub of trade settlement and assessment of economic and technical indicators in power generation,substation,transmission,distribution and consumption,the accurate and stable operation of electric energy metering device is directly related to the economic interests of both trade parties. Therefore,it is necessary to assess the operating status of the electric energy metering device,for the purpose of predicting faulty and then stopping loss. Based on the previous researches,this paper makes improvement on the state indicators and evaluation methods of electric energy metering devices from two aspects,that is the non-linear mathematical scoring model is used to characterize the quantitative state indicators,and the gray theory is applied to analyze the qualitative state indicators; based on the improved analytic hierarchy process,the weight of each state indicator is determined. Finally,the state evaluation results are obtained by means of weighted average model and fuzzy mathematics theory. The improved state assessment strategy is more perfect and practical,thus realizing the all-round supervision over the operating status of the electric energy metering device.
As a hub of trade settlement and assessment of economic and technical indicators in power generation,substation,transmission,distribution and consumption,the accurate and stable operation of electric energy metering device is directly related to the economic interests of both trade parties. Therefore,it is necessary to assess the operating status of the electric energy metering device,for the purpose of predicting faulty and then stopping loss. Based on the previous researches,this paper makes improvement on the state indicators and evaluation methods of electric energy metering devices from two aspects,that is the non-linear mathematical scoring model is used to characterize the quantitative state indicators,and the gray theory is applied to analyze the qualitative state indicators; based on the improved analytic hierarchy process,the weight of each state indicator is determined. Finally,the state evaluation results are obtained by means of weighted average model and fuzzy mathematics theory. The improved state assessment strategy is more perfect and practical,thus realizing the all-round supervision over the operating status of the electric energy metering device.
引文
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[15]卢健豪,聂一雄,温盛科,等.基于层次分析法的电能计量装置运行状态评价方法[J].电测与仪表,2017,54(14):81-86.Lu Jianhao,Nie Yixiong,Wen Shengke,et al. Operation status evaluation methods for energy metering devices based on AHP[J]. Electrical Measurement&Instrumentation,2017,54(14):81-86.
[2] Ferrigno L,Paciello V,Pietrosanto A. Visual sensors for remote metering in public networks[A]. 2011 Instrumentation and Measurement Technology Conference[C]. Binjiang,China,2011,1-6.
[3] Rui W,Hai-bo Y. Failure Risk Assessment Method of electric energy meter based on state evaluation[A]. 2016 China International Conference on Electricity Distribution[C]. Xi'an,China,2016,1-5.
[4] Zhang D,Lin G,Song Q,et al. Application of state evaluation of electric energy metering device[A]. 2017 IEEE International Conference on Electronic Measurement&Instruments[C]. Yangzhou,China,2017,510-515.
[5] DL/T 448-2016,电能计量装置技术管理规程[S].
[6]杜卫华,曹袆,厉达.状态评估技术在关口电能计量装置管理上的应用[J].华东电力,2013,41(10):2107-2110.
[7]蔡耀年,刘加,米晓霞,等.电能计量装置状态评估系统开发及实现[J].电子世界,2016,(19):186-190.
[8]黄俐萍,王卉,杜卫华.电能计量装置运行评价方法研究[J].华东电力,2014,42(11):2322-2326.Huang Liping,Wang Hui,Du Weihua. Operation evaluation methods for energy metering devices)[J]. East China Electric Power,2014,42(11):2322-2326.
[9]程瑛颖,吴昊,杨华潇,等.电能计量装置状态模糊综合评估及检验策略研究[J].电测与仪表,2012,49(12):1-6.Cheng Yingying,Wu Hao,Yang Huaxiao,et al. Fuzzy comprehensive status evaluation on electric energy metering device and test strategy research[J]. Electrical Measurement&Instrumentation,2012,49(12):1-6.
[10]唐发荣.基于专家评分机制的模糊综合评判法在电力系统负荷预测中的应用[J].电力学报,2011,32(5):380-382.Tang Farong. The application of the fuzzy synthetic evaluation method based on the specialist grading system in the load forecasting of power system. Journal of Electric Power,2011,32(5):380-382.
[11]崔莉,陆文伟,葛乐,等.基于粗糙模糊集的输电杆塔塔材实际强度精确计算[J].电测与仪表,2016,53(23):101-105.Cui Li,Lu Wenwei,Ge Le,et al. Precise calculation of the actual strength of transmission tower material actual strength based on rough fuzzy set[J]. Electrical Measurement&Instrumentation,2016,53(23):101-105.
[12]肖勇,党三磊,张思建.电能计量设备故障分析与可靠性技术[M].北京:中国电力出版社,2005.
[13]程瑛颖,杨华潇,肖冀,等.电能计量装置运行误差分析及状态评价方法研究[J].电工电能新技术,2014,33(5):76-80.Chen Yingying,Yang Huaxiao,Xiao Ji,et al. Operation errors analysis of electric energy metering device and state evaluation method research[J]. Advanced Technology of Electrical Engineering and Energy,2014,33(5):76-80.
[14]张磐,凌万水,郑悦,等.基于模糊层次分析法的配电自动化运行评估方法研究[J].电测与仪表,2016,53(22):72-77.Zhang Pan,Ling Wanshui,Zheng Yue,et al. Research on the evaluation method of distribution automation operation evaluation method based on Fuzzy fuzzy analytic hierarchy process[J]. Electrical Measurement&Instrumentation,2016,53(22):72-77.
[15]卢健豪,聂一雄,温盛科,等.基于层次分析法的电能计量装置运行状态评价方法[J].电测与仪表,2017,54(14):81-86.Lu Jianhao,Nie Yixiong,Wen Shengke,et al. Operation status evaluation methods for energy metering devices based on AHP[J]. Electrical Measurement&Instrumentation,2017,54(14):81-86.