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谐波对无功电能表计量特性的影响 被引量:23

INFLUENCE OF HARMONICS ON REGISTRATION OF VARHOUR METER
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摘要 目前谐波对无功电能表计量特性影响的研究还不完善。文章从理论上分析了各种常用无功电能表的移相误差,然后对感应式和电子式无功电能表做了频率响应和谐波无功功率试验,并对试验数据采用最小二乘法进行分析。理论和试验分析结果表明,谐波环境下无功电能表的计量误差可分为幅值误差和相位误差两类:谐波环境下感应式和电子式无功电能表均产生很大的相位误差,使最大计量误差可能达到2倍的谐波视在功率;随着谐波次数的升高,感应式和电子式无功电能表计量的谐波无功幅值减小,感应式电能表计量的幅值减小得更快。 At present the research of the influence of harmonics on registration of varhour meter is still imperfect. The authors analyzed the phase-shifting errors of common used varhour meters, then the experiments of frequency response and reactive power of harmonics are carried out, and the results of experiments are analyzed by least square method. The results from theoretical and experimental analysis show that in harmonic environment the metering errors of varhour meter can be divided into amplitude error and phase error. Meanwhile there are evident phase errors in both induction varhour meter and solid-state varhour meter, so the maximum metering error may be twice as much the apparent power of harmonics. With the increment of harmonic order, the amplitudes of reactive harmonic power metered by induction varhour meter and solid state varhour meter are decreased and the metered amplitude by induction varhour meter decreases more rapidly.
出处 《电网技术》 EI CSCD 北大核心 2005年第16期56-60,共5页 Power System Technology
关键词 谐波 感应式无功电能表 电子式无功电能表 频率响应 最小二乘法 电能计量 电力系统 Harmonics Induction varhourmeter Solid-state varhour meter Frequency response: Least square method Electric energy metering Power system
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  • 1林炳海 方吉六.用对称分量法分析三相电路中功率和电能的测量误差[J].电测与仪表,1975,(8):17-24.
  • 2[2]Meliopoulos A P S,Asad M A,Cokkinides G J.Issues for reactive power and voltage control pricing in a deregulated environment [A].System Sciences,1999.HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on[C].1999:5-8.
  • 3[3]Dona V M,Paredes A N.Reactive power pricing in competitive electric markets using the transmission losses function[A].Power Tech Proceedings,2001 IEEE Porto[C].2001:10-13.
  • 4[5]Kenji Iba.Reactive power optimaization by genetic algorithm,[J].IEEE Transactions on Power Systems,1994,9(2):685-692.
  • 5[7]Harth E,Tzanakou E.A stochastic method for determing visual receptive fields[J].Vision Res.,1974,14:1475-1483.
  • 6[8]Harth E,Unnikrishnan K P,Pandya A S.The inversion of sensory processing by feedback pathways:a model of visual connitive functions[J].Science,1987,237:184-187.
  • 7[9]Venugopal K P,Pandya A S,Sudbakar R.Alopex alogrithm for adaptive control of dynamical systems[A].in IJCNN International Joint Conference on Neural Network[C].(Baltmore, MD),1992:875-880.
  • 8Hao S Y, Papalexooulos A. Rective power pricing and management[J]. IEEE Trans on Power Systems, 1997, 12(1): 95-102.
  • 9Baughman M L, Siddiqi S N. Real time of reactive power: theory and case study results[J]. IEEE Trans on Power Systems, 1991, 6(1): 23-29.
  • 10EI-Keib A A, Ma X. Calculating short-run marginal costs of active and reactive power production[J]. IEEE Trans on Power Systems, 1997,12(2): 559-565.

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