Estimation of flicker generating feeders index with combined sampling-simulation method
Subject Areas : Multimedia Processing, Communications Systems, Intelligent SystemsPeyman Nazarian 1 , Majid Moradloo 2
1 - Assistant Professor, System & Energy Research Center, Zanjan Branch, Islamic Azad University, Zanjan, Iran
2 - Assistant Professor, Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
Keywords: Flicker index, Flicker short term index, Flicker long term index, Flicker tracking, Sampling,
Abstract :
In this article, the background of the subject and the works done in the field of flicker simulation and tracking are mentioned first, and then the new combined simulation-sampling method to estimate flicker indicators is described. In the following, the computer program FSP, which was developed to analyze and track flicker caused by heavy industrial subscribers, based on the method of this article, is introduced. This software includes the needs of the Zanjan regional electric company in this field and by using the available hardware and data facilities and taking into account the existing limitations; it has the ability to study on flicker and estimate flicker indicators. In the following, using the data extracted from one of the 230 kV substations under the management of the Zanjan regional electricity company, flicker is calculated and studied in a typical network. Checking the Flicker indicators, in cases where it is not possible to actually cut off the feeders, is easily done by the FSP software, and it makes it possible to track flicker generating subscribers and estimate the flicker share of each of them.
Introduction: Flicker is a physiological phenomenon that is defined as a non-permanent sensory effect of a light source on the human eye, and this effect is caused by the change of flux or spectral distribution of the light source with time.
Method: The proposed method consists of two practical and theoretical parts, the practical part of which is the measurement of the required parameters of the network and the theoretical part, software calculations to determine the short-term and long-term flicker indicators, which will be obtained by simulating the behavior of the standard flicker meter.
Results: In this article, it was seen that checking the flicker indicators in situations where it is not possible to actually cut off the feeders, can be easily done by the designed software, and it gives the power companies the possibility to make a better decision to reject or accept the subscribers before signing the contract, or it makes it possible to track and identify the flicker generating subscribers.
Discussion: Due to the limitation in the sampling frequency, a measure has been taken to be more compatible with the flicker standard; In this way, an algorithm for performing linearization between the voltage samples obtained from the load flow has been used.
[1] A. Shahnavaz, M. Afzali, S. Rahimzadeh, “A new approach for data cleaning to improve quality of data warehouse,” Intelligent Multimedia Processing and Communication Systems, vol. 1, no. 2, pp. 33-41, 2021. [Persian]
[2] P. Nazarian, “Definition of bus priority vector to solve distribution load flow for radial networks using MATLAB,” Intelligent Multimedia Processing and Communication Systems, vol. 2, no. 4, pp. 13-19, 2022. [Persian]
[3] Iran power industry standards- power quality, part four: voltage and frequency variations, April 2002. [Persian]
[4] P. G. V. Axelberg, M. H. J. Bollen, “An algorithm for determination the direction to a flicker source,” IEEE Transaction on Power Delivery, vol. 21, no. 2, April 2006.
[5] P. G. V. Axelberg, M. H. J. Bollen, I. Y.H. Gu, “Trace of flicker sources by using the quantity of flicker power,” IEEE Transactions on Power Delivery, vol. 23, no. 1, Jan. 2008.
[6] O. Ozgun, A. Abur, “Flicker study using a novel arc furnace model,” IEEE Transactions on Power Delivery, vol. 17, no. 4, pp. 1158-1163, Oct. 2002.
[7] J. J. Gutierrez, J. Ruiz, S. R. Gauna, “Linearity of the IEC flickermeter regarding amplitude variations of rectangular fluctuations,” IEEE Transactions on Power Delivery, vol. 22, no.1, pp. 729-731, Jan. 2007.
[8] D. Gallo, C. Landi, N. Pasquino, “Design and calibration of an objective flickermeter,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 6, pp. 2118-2125, Dec. 2006.
[9] C. Moreno, H. Duarte, J. Garcia, “Propagation of flicker in electric power networks due to wind energy conversions systems,” IEEE Transactions on Energy Conversions, vol. 17, no. 2, June 2002.
[10] A. Hernandez, Julio G. Mayordomo, R. Asensi, L. F. Beites, “A method based on interharmonics for flicker propagation applied to arc furnaces,” IEEE Transactions on Power Delivery, vol. 20, no. 3, pp. 2334-3442, July 2005.
[11] P. Axelberg, On Tracing Flicker Sources and Classification of Voltage Disturbances, PhD thesis, Chalmers university of technology, 2007.
[12] S.H. Cho, J.A. Jung, G. Jang, S.H. Kwon, M.H. Kang, “Development of matlab/simulink module for voltage flicker simulation in distribution power systems,” Journal of Electrical Engineering & Technology, vol. 3, no. 3, pp. 314-319, 2008.
[13] H. Samet, M. Khosravi, T. Ghanbari, M. Tajdinian “A two-level neural network approach for flicker source location,” Computers & Electrical Engineering, vol. 92, pp. 107157, 2021.
[14] H. Moghadam Banaem, , M. Abbasi, B. Tousi, “A new method with minimum number of monitoring points for flicker source tracing by wavelet transform,” International Transactions on Electrical Energy Systems, p. e12057, 2019.
[15] H. Givi, S. R. K. Hoseini, “An effective signature for detection of flicker sources in transmission networks using fast fourier transform,” 28th Iranian Conference on Electrical Engineering, IEEE, pp. 1–6, 2020.
[16] Y. Li, Y. Gao, Y. Feng, Y. Cao, Y. Zhu, “Improved analytic energy operator and novel three-spectral line interpolation DFT method for parameter estimation of voltage flicker,” IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3261885, pp. 1–9, 2023.
