Generation of Long-time Complex Signals for Testing the Instruments for Detection of Voltage Quality Disturbances

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Abstract

Software supported procedure for generation of long-time complex test sentences, suitable for testing the instruments for detection of standard voltage quality (VQ) disturbances is presented in this paper. This solution for test signal generation includes significant improvements of computer-based signal generator presented and described in the previously published paper [1]. The generator is based on virtual instrumentation software for defining the basic signal parameters, data acquisition card NI 6343, and power amplifier for amplification of output voltage level to the nominal RMS voltage value of 230 V. Definition of basic signal parameters in LabVIEW application software is supported using Script files, which allows simple repetition of specific test signals and combination of more different test sequences in the complex composite test waveform. The basic advantage of this generator compared to the similar solutions for signal generation is the possibility for long-time test sequence generation according to predefined complex test scenarios, including various combinations of VQ disturbances defined in accordance with the European standard EN50160. Experimental verification of the presented signal generator capability is performed by testing the commercial power quality analyzer Fluke 435 Series II. In this paper are shown some characteristic complex test signals with various disturbances and logged data obtained from the tested power quality analyzer.

[1] Simić, M., Kokolanski, Z., Denić, D., Dimcev, V., Živanović, D., Taskovski, D. (2017). Design and evaluation of computer-based electrical power quality signal generator. Measurement, 107, 77-88.

[2] Bollen, M.H.J. (2003). What is power quality? Electric Power Systems Research, 66 (1), 5-14.

[3] Ferrero, A. (2008). Measuring electric power quality: Problems and perspectives. Measurement, 41 (2), 121-129.

[4] Copper Development Association. (2004). Power quality application guide. Voltage disturbances. Standard EN 50160.

[5] Montenegro, D., Hernandez, M.E., Ramos, G.A. (2014). A realistic generator of power quality disturbances for practicing in courses of electrical engineering. Computer Applications in Engineering Education, 23 (3), 391-402.

[6] De la Rosaa, J.G., Pérez, A.A., Salas, J.C., Fernández, J.M., Muñoz, A.M. (2012). A novel virtual instrument for power quality surveillance based in higher-order statistics and case-based reasoning. Measurement, 45 (7), 1824-1835.

[7] Chunling, C., Huihui, Q., Wei, Z., Pengfei, W. (2012). Transient power quality signal generator and detector platform. Energy Procedia, 16B, 1380-1385.

[8] Kumar, V., Kaur, M. (2015). Power quality event generation in MATLAB/Simulink environment. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 4 (7), 6055-6059.

[9] Saxena, R., Swami, A.K., Mathur, S. (2012). A power quality signal generator in LabVIEW Environment. In International Conference on Advances in Electronics, Electrical and Computer Science Engineering - EEC 2012, 36-39.

[10] Zhu, W., Ma, W.Y., Gui, Y., Zhang, H.F. (2013). Modelling and simulation of PQ disturbance based on Matlab. International Journal of Smart Grid and Clean Energy, 2 (1), 18-24.

[11] Fluke Corporation. (2012). Fluke 435 Series II, Three-phase energy and power quality analyzer. Manual.

[12] National Instruments Corporation. (2014). PCIe NI 6343 multifunction data acquisition card - specifications.

[13] Kokolanski, Z., Gavrovski, C., Mircevska, I., Dimcev, V., Simić, M. (2016). On the design of power quality signal amplifier. In International Scientific Conference Electronics (ET 2016). IEEE.

[14] Apex Microtechnology, Inc. (2012). Power operational amplifiers. PA97DR - datasheet.

[15] IEEE. (2000). Recommended practice for emergency and standby power systems for industrial and commercial applications. IEEE Standard 446-1995.

Measurement Science Review

The Journal of Institute of Measurement Science of Slovak Academy of Sciences

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CiteScore 2017: 1.61

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