m序列调制的正弦离散伪随机动态测试信号的完备性分析
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摘要
针对电能表动态误差测试问题,该文首先定义动态测试信号模型应具备的特性,提出动态测试信号的完备性定理,为衡量动态测试信号是否能够全面合理地测试得出电能表动态误差提供了理论依据;其次,建立智能电能表结构化测量模型和m序列调制的正弦离散(m sequence modulatingsine discrete,m SD)伪随机动态测试信号数学模型,基于广义循环平稳随机过程理论与新提出的m SD伪随机信号相关辨识法,证明该测试信号具有完备性;最后,通过建立电能表动态误差测试系统,对不同类型电能表进行动态误差实验,验证m SD伪随机动态测试信号完备性理论的正确性。
Aiming at the problem of the electric energy meter dynamic error test, firstly, the definitions of dynamic test signal model characteristics and the theorem of completeness of dynamic test signal were put forward. All these provide a theoretical basis for measuring whether the dynamic test signal could test the dynamic error of the electric energy meter comprehensively and reasonably. Secondly, the structured measurement model of smart electric energy meter was established, and a mathematical model of m sequence modulating sine discrete(m SD) pseudo-random dynamic test signals was proposed. Thirdly, based on the general cyclostationary stochastic process theory and the newly proposed m SD pseudo-random signal cross-correlation identification method, the completeness of m SD pseudo-random dynamic test signal was proved. Finally, the dynamic error test experiment of different types of electric energy meter was carried out by establishing the dynamic error test system. The experiment results verify the correctness of the completeness of m SD pseudo-random dynamic test signal.
Aiming at the problem of the electric energy meter dynamic error test, firstly, the definitions of dynamic test signal model characteristics and the theorem of completeness of dynamic test signal were put forward. All these provide a theoretical basis for measuring whether the dynamic test signal could test the dynamic error of the electric energy meter comprehensively and reasonably. Secondly, the structured measurement model of smart electric energy meter was established, and a mathematical model of m sequence modulating sine discrete(m SD) pseudo-random dynamic test signals was proposed. Thirdly, based on the general cyclostationary stochastic process theory and the newly proposed m SD pseudo-random signal cross-correlation identification method, the completeness of m SD pseudo-random dynamic test signal was proved. Finally, the dynamic error test experiment of different types of electric energy meter was carried out by establishing the dynamic error test system. The experiment results verify the correctness of the completeness of m SD pseudo-random dynamic test signal.
引文
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[17]李长红,陈明俊,杨燕,等.永磁同步电机的相关辨识法自整定速度控制[J].中国电机工程学报,2014,34(30):5360-5367.Li Changhong,Chen Mingjun,Yang Yan,et al.A correlation identification based auto-tuning speed control method for permanent magnet synchronous motor drives[J].Proceedings of the CSEE,2014,34(30):5360-5367(in Chinese).
[18]刘健,黄炜.分布式光伏电源与负荷分布接近条件下的可接入容量分析[J].电网技术,2015,39(2):299-306.Liu Jian,Huang Wei.Analysis on grid-connectible capacity of distributed PV generation in case of PV generation distribution close to load distribution[J].Power System Technology,2015,39(2):299-306(in Chinese).
[19]Janabi-Sharifi F,Jorjani G.An adaptive system for modelling and simulation of electrical arc furnaces[J].Control Engineering Practice,2009,17(10):1202-1219.
[20]王爱军.典型非线性负荷用电特性与评估体系的研究[D].北京:华北电力大学,2016.Wang Aijun.Research on electrical characteristic and power quality assessment system of typical nonlinear load[D].Beijing:North China Electric Power University,2016(in Chinese).
[21]Gardner W A,Napolitano A,Paura L.Cyclostationarity:half a century of research[J].Signal Processing,2006,86(4):639-697.
[2]王蓓蓓,赵盛楠,刘小聪,等.面向可再生能源消纳的智能用电关键技术分析与思考[J].电网技术,2016,40(12):3894-3903.Wang Beibei,Zhao Shengnan,Liu Xiaocong,et al.Review on key technologies of smart power utilization for renewable energy integration[J].Power System Technology,2016,40(12):3894-3903(in Chinese).
[3]Khan A R,Mahmood A,Safdar A,et al.Load forecasting,dynamic pricing and DSM in smart grid:A review[J].Renewable and Sustainable Energy Reviews,2016,54:1311-1322.
[4]陆祖良,王磊,李敏.对电能表动态测量功能评价的讨论[J].电测与仪表,2010,47(4):1-4.Lu Zuliang,Wang Lei,Li Min.Discussion for evaluation of dynamic measurement function of electrical energy meter[J].Electrical Measurement&Instrumentation,2010,47(4):1-4(in Chinese).
[5]Lu Zuliang,So E.A proposal for verifying the performance specifications of certain functions of smart meters in distribution power line networks[C]//Proceedings of 2010 IEEE Conference on Precision Electromagnetic Measurements.Daejeon,Korea:IEEE,2010:271-272.
[6]王学伟,温丽丽,贾晓璐,等.智能电能表动态误差的OOK激励测试方法[J].电力自动化设备,2014,34(9):143-147.Wang Xuewei,Wen Lili,Jia Xiaolu,et al.OOK-driven dynamic error measurement of smart energy meter[J].Electric Power Automation Equipment,2014,34(9):143-147(in Chinese).
[7]王学伟,温丽丽,袁瑞铭,等.智能电能表动态误差确定型测试激励信号的讨论[J].电测与仪表,2014,51(4):1-7.Wang Xuewei,Wen Lili,Yuan Ruiming,et al.Discussion of definitive test excitation signals for dynamic error of intelligent electric meter[J].Electrical Measurement&Instrumentation,2014,51(4):1-7(in Chinese).
[8]王学伟,吕磅,王琳,等.基于TASK功率模型的电能表动态误差测试方法[J].中国电机工程学报,2016,36(18):4847-4853.Wang Xuewei,Lv Pang,Wang Lin,et al.TASK power model based dynamic error testing for electricity meter[J].Proceedings of the CSEE,2016,36(18):4847-4853(in Chinese).
[9]王学伟,董晓璇,王琳,等.m序列伪随机动态测试信号建模与压缩检测方法[J].电力自动化设备,2017,37(2):145-150.Wang Xuewei,Dong Xiaoxuan,Wang Lin,et al.Modeling of m-sequence pseudo-random dynamic test signal and compressive measurement method[J].Electric Power Automation Equipment,2017,37(2):145-150(in Chinese).
[10]王学伟,董晓璇,袁瑞铭,等.压缩感知伪随机动态功率信号的电能测量方法[J].电子与信息学报,2017,39(3):640-646.Wang Xuewei,Dong Xiaoxuan,Yuan Ruiming,et al.Compressive sensing measurement for electrical energy of pseudo random dynamic test signal[J].Journal of Electronics&Information Technology,2017,39(3):640-646(in Chinese).
[11]陈碧希.非线性负荷随机特性分析与动态测试信号建模[D].北京:北京化工大学,2017.Chen Bixi.Stochastic characteristic analysis of nonlinear load and dynamic test signal modeling[D].Beijing:Beijing University of Chemical Technology,2017(in Chinese).
[12]胡政.边界扫描测试理论与方法研究[D].长沙:国防科学技术大学,1998.Hu Zheng.Research on the theory and method of boundary scan test[D].Changsha:National University of Defense Technology,1998(in Chinese).
[13]Bonifácio A L,Moura A V.Test suite completeness and black box testing[J].Journal of Software:Testing,Verification and Reliability,2017,27(1-2):1626.
[14]李白男,钟延炯.多功能伪随机信号相关仪及冷轧机控制系统在线辨识[J].自动化学报,1979,5(1):15-29.Li Bainan,Zhong Yanjiong.Multi-functional pseudorandom binary sequence correlator and on-line identification of control systems of cold rolling mills[J].Acta Automatica Sinica,1979,5(1):15-29(in Chinese).
[15]Miao B,Zane R,Maksimovic D.System identification of power converters with digital control through cross-correlation methods[J].IEEE Transactions on Power Electronics,2005,20(5):1093-1099.
[16]李敏,宋凝芳,张春熹,等.采用相关辨识的光纤陀螺动态特性测试方法[J].红外与激光工程,2011,40(4):723-727.Li Min,Song Ningfang,Zhang Chunxi,et al.Dynamic characteristics test of fiber optic gyroscope based on cross-correlation identification[J].Infrared and Laser Engineering,2011,40(4):723-727(in Chinese).
[17]李长红,陈明俊,杨燕,等.永磁同步电机的相关辨识法自整定速度控制[J].中国电机工程学报,2014,34(30):5360-5367.Li Changhong,Chen Mingjun,Yang Yan,et al.A correlation identification based auto-tuning speed control method for permanent magnet synchronous motor drives[J].Proceedings of the CSEE,2014,34(30):5360-5367(in Chinese).
[18]刘健,黄炜.分布式光伏电源与负荷分布接近条件下的可接入容量分析[J].电网技术,2015,39(2):299-306.Liu Jian,Huang Wei.Analysis on grid-connectible capacity of distributed PV generation in case of PV generation distribution close to load distribution[J].Power System Technology,2015,39(2):299-306(in Chinese).
[19]Janabi-Sharifi F,Jorjani G.An adaptive system for modelling and simulation of electrical arc furnaces[J].Control Engineering Practice,2009,17(10):1202-1219.
[20]王爱军.典型非线性负荷用电特性与评估体系的研究[D].北京:华北电力大学,2016.Wang Aijun.Research on electrical characteristic and power quality assessment system of typical nonlinear load[D].Beijing:North China Electric Power University,2016(in Chinese).
[21]Gardner W A,Napolitano A,Paura L.Cyclostationarity:half a century of research[J].Signal Processing,2006,86(4):639-697.