On the equivalent ZIP parameter extraction of desktop computer cases and LCD monitors connected in parallel

Year 2019, Volume: 3 Issue: 3, 164 - 169, 15.12.2019

Şuayb Çağrı Yener , Reşat Mutlu

https://doi.org/10.35860/iarej.614997

Cited By: 2

Abstract

Constant-impedance,
constant-current and constant-power ZIP models of electrical loads are commonly
used in smart grid and residential load applications. Some of residential loads
are of nonlinear nature such as LCD monitors and computers. In this study, first,
equivalent ZIP model formulas of parallel-connected electrical loads are
derived. Then, the ZIP models of an LCD monitor, a computer case and the
computer case and the monitor connected in parallel have been obtained using
experimental data and least-squares curve fitting method. Finally, the
equivalent ZIP model formulas are tested with the experimental data. It has
been found that for the rectifier nonlinear loads with different ZIP
parameters, the formulas do not give acceptable errors. Therefore, for
rectifier nonlinear loads, the measurement-based approach for load modeling
must be performed. 

Keywords

Computers, LCD monitors, Least squares method, Load models, Residential appliances, ZIP model

References

• 1. Azuatalam, D. T., Unigwe, O. C., and Collin, A. J., Investigating the effects of conservation voltage reduction on UK-type residential networks. , in 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016, p. 1–6.
• 2. Bazrafshan, M. and Gatsis, N., Convergence of the Z-Bus Method for Three-Phase Distribution Load-Flow with ZIP Loads. IEEE Transactions on Power Systems, 2018. 33(1): p. 153–165.
• 3. Tushar, Pandey, S., Srivastava, A. K., Markham, P., and Patel, M., On-line Estimation of Steady-State Load Models Considering Data Anomalies. IEEE Transactions on Industry Applications, 2017. p. 1–1.
• 4. Ge, Y., Flueck, A. J., Kim, D.-K., Ahn, J.-B., Lee, J.-D., and Kwon, D.-Y., An Event-Oriented Method for Online Load Modeling Based on Synchrophasor Data. IEEE Transactions on Smart Grid, 2015. 6(4): p. 2060–2068.
• 5. Patel, A., Wedeward, K., and Smith, M., Parameter Estimation for Inventory of Load Models in Electric Power Systems. , in Proceedings of the World Congress on Engineering and Computer Science 2014 Vol I WCECS 2014 22-24 October, 2014, 2014, I.
• 6. Sadeghi, M. and Abdollahi sarvi, G., Determination of ZIP parameters with least squares optimization method. , in 2009 IEEE Electrical Power & Energy Conference (EPEC), 2009, p. 1–6.
• 7. del Pilar Rios, A., Agbossou, K., and Cardenas, A., Taylor series approximation of ZIP model for on-line estimation of residential loads’ parameters. , in 2017 IEEE International Conference on Industrial Technology (ICIT), 2017, p. 632–637.
• 8. Wang, K., Huang, H., and Zang, C., Research on Time-Sharing ZIP Load Modeling Based on Linear BP Network. , in 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2013, p. 37–41.
• 9. Haidar, A. M. A. and Muttaqi, K. M., Behavioral Characterization of Electric Vehicle Charging Loads in a Distribution Power Grid Through Modeling of Battery Chargers. IEEE Transactions on Industry Applications, 2016. 52(1): p. 483–492.
• 10. Bokhari, A. et al., Experimental Determination of the ZIP Coefficients for Modern Residential, Commercial, and Industrial Loads. IEEE Transactions on Power Delivery, 2014. 29(3): p. 1372–1381.
• 11. Hossan, M. S. and Chowdhury, B. H., Exponential factor dependent ZIP coefficients extraction and impacts of CVR in a utility feeder. , in 2015 North American Power Symposium (NAPS), 2015, p. 1–6.
• 12. Durusu, A., Kekezoglu, B., Elma, O., Selamogullari, U. S., and Bircan, M., Determination of zip coefficients for residential loads. Pressacademia, 2017. 5(1): p. 176–180.
• 13. Ai, Q., Yuan, R.-F., and He, X., Research on dynamic load modelling based on power quality monitoring system. IET Generation, Transmission & Distribution, 2013. 7(1): p. 46–51.
• 14. Rudion, K., Guo, H., Abildgaard, H., and Styczynski, Z. A., Non-linear load modeling — Requirements and preparation for measurement. , in 2009 IEEE Power & Energy Society General Meeting, 2009, p. 1–7.
• 15. Yener, S. C., Yener, T., and Mutlu, R., A process control method for the electric current-activated/assisted sintering system based on the container-consumed power and temperature estimation. Journal of Thermal Analysis and Calorimetry, 2018. 134(2): p. 1243–1252.
• 16. Yener, T., Yener, S. C., and Mutlu, R., Finite Difference Analysis of a Resistive Sintering System Container. Journal of Nanoelectronics and Optoelectronics, 2019. 14(8): p. 1143–1147.
• 17. Sevilmiş, F. and Karaca, H., Performance analysis of SRF-PLL and DDSRF-PLL algorithms for grid interactive inverters. International Advanced Researches and Engineering Journal, 2019. 3(2): p. 116–122.
• 18. Bing Zhao, Yong Tang, Wen-chao Zhang, and Wang, Q., Modeling of common load components in power system based on dynamic simulation experiments. , in 2010 International Conference on Power System Technology, 2010, p. 1–7.
• 19. Rawa, M. J. H., Thomas, D. W. P., and Sumner, M., Experimental Measurements and Computer Simulations of Home Appliances Loads for Harmonic Studies. , in 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 2014, p. 340–344.
• 20. Quilumba, F. L., Wei-Jen Lee, Heng Huang, Wang, D. Y., and Robert Louis Szabados, Load model development for next generation appliances. , in 2011 IEEE Industry Applications Society Annual Meeting, 2011, p. 1–7.