Combining Digital Signal Processing, Artificial Intelligence and Graphs for Modeling Power Quality Disturbances
(*) Corresponding author
This article presents the combination of digital signal processing, artificial intelligence and acyclic graphs for modeling power quality disturbances. These techniques include continuous wavelet transform, fuzzy logic and Bayesian networks. The aim with these techniques is to detect and characterize power quality disturbances. Later, by using Bayesian networks it is possible to diagnose the source of the disturbance within a previously modeled power system. These techniques are implemented into an instrument for measuring power quality disturbances. The performance of this instrument is evaluated in laboratory by injecting it power signals with known disturbances generated for representing several scenarios. The results reveal that the developed instrument can detect a wide spectrum of power quality disturbances. Additionally, this system can diagnose the cause of the disturbance to support corrective actions and infrastructure improvements over the analyzed power system.
Copyright © 2015 Praise Worthy Prize - All rights reserved.
M. H. J. Bollen and I. Y. H. Gu, Signal Processing Of Power Quality Disturbances. Piscataway, NJ, U.S.A.: John Wiley & Sons, Inc., 2006.
M. H. J. Bollen, I. Y. H. Gu, S. Santoso, M. F. McGranaghan, P. A. Crossley, M. V. Ribeiro, et al., "Bridging the gap between signal and power," Signal Processing Magazine, IEEE, vol. 26, pp. 12-31, 2009.
Uddin, S., Shareef, H., Mohamed, A., Hannan, M.A., Performance of LED lamps on distribution system voltage sags, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 174-180.
M. E. Baran, H. Hooshyar, Z. Shen, J. Gajda, and K. M. M. Huq, "Impact of high penetration residential PV systems on distribution systems," in Power and Energy Society General Meeting, 2011 IEEE, 2011, pp. 1-5.
R. F. Arritt and R. C. Dugan, "Distribution System Analysis and the Future Smart Grid," IEEE Transactions on Industry Applications, vol. 47, pp. 2343-2350, 2011.
T. E. McDermott and R. C. Dugan, "PQ, reliability and DG," IEEE Industry Applications Magazine, vol. 9, pp. 17-23, 2003.
Elmahni, L., Bouhouch, L., Alaoui, R., Moudden, A., Modeling and Control of a Hybrid Microgrid by Multi-Agent System, (2015) International Review of Electrical Engineering (IREE), 10 (1), pp. 145-153.
M. H. J. Bollen, "Fast assessment methods for voltage sags in distribution systems," in Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE, 1995, pp. 2282-2289 vol.3.
D. Montenegro and G. A. Ramos, "Characterization of Power Quality Disturbances Using Digital Filtering Techniques," presented at the International Symposium on Alternative Energies and Energy Quality (SIFAE) Barranquilla, 2012.
G. A. Ramos and D. Montenegro, "Identification of Power Quality Phenomena using the continuous wavelet transform," in 9th Latin American Congress on Electricity Generation and Transmission, Mar del Plata, 2011, pp. 210-212.
F. Zavoda, "Advanced Distribution Automation (ADA) Applications and Power Quality in Smart Grids," in China International Conference on Electricity Distribution, Shanghai, 2010, pp. 1-7.
"P- IEC 61000-4 -30, Electromagnetic Compatibility, Testing and measuring techniques, Power quality measurement methods," A.-E. Commite, Ed., ed. Geneva, Swrtzerland: IEC, 2003.
"IEEE Recommended Practices and Requirements for Harmonic Control in Electrical Power Systems," IEEE Std 519-1992, p. 0_1, 1993.
C. Cepisca, G. Seritan, S. Grigorescu, and F. Argatu, "Aspects of metrological calibration of power quality analyzers," in 2013 8th International Symposium on Advanced Topics in Electrical Engineering (ATEE), 2013, pp. 1-4.
A. Boussaid, Y. Maouche, A. L. Nemmour, and A. Khezzar, "A positive and negative sequences detecting method based on an improved PQ theory for power grid synchronization," in 2013 8th International Conference on Electrical and Electronics Engineering (ELECO), 2013, pp. 181-185.
Kachenoura, R., Lounas, F., Ait Ramdane, N., Benamrouche, N., Haddad, S., Instantaneous losses estimation in an IGBT placed in a basic switching cell, (2014) International Review on Modelling and Simulations (IREMOS), 7 (3), pp. 428-435.
Srinivasan, S., Ganesan, R., Enriching electric power quality by using bee algorithm in shunt active filters, (2014) International Review on Modelling and Simulations (IREMOS), 7 (4), pp. 605-612.
Mohamad, N.Z., Abidin, A.F., Musirin, I., Application of S-transform for fault detection during power swing, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1550-1557.
A. M. Gaouda, M. M. A. Salama, M. R. Sultan, and A. Y. Chikhani, "Power quality detection and classification using wavelet-multiresolution signal decomposition," IEEE Transactions on Power Delivery,, vol. 14, pp. 1469-1476, 1999.
S. A. Deokar, L. M. Waghmare, and M. D. Takale, "Power system switching transients analysis using multiresolution signal decomposition," in International Conference on Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. 2009, 2009, pp. 1-5.
N. T. Huang, Y. J. Zhang, D. G. Xu, X. S. Liu, and J. J. Qi, "Power quality disturbances classification by ensemble and hybrid Neural networks," in International Conference on Power System Technology (POWERCON), 2010, 2010, pp. 1-7.
X. Yin, A. Zhang, H. Zhang, and L. Hao, "Research and design of digital power quality analysis system based on mixed radix FFT," in Chinese Control Conference (CCC), 2014 33rd, 2014, pp. 7393-7399.
C. Filote, V. Apetrei, and A. Graur, "Topologies of three-phase rectifier with near sinusoidal input currents — A comparative analysis of power quality indices using FFT and DWT," in 16th International Power Electronics and Motion Control Conference and Exposition (PEMC), 2014, 2014, pp. 731-736.
Priyadharshini, A., Devarajan, N., Use of wavelet transforms for the minimization of harmonics using shunt active power filter, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1489-1495.
M. Uher, Mis, x030C, x, and S. k, "Voltage analysis of the distribution network with renewable resources using EMTP-ATP," in Proccedings of the 2014 15th International Scientific Conference on Electric Power Engineering (EPE), 2014, pp. 131-136.
J. F. Hernandez-Perez, D. Vela-Arvizo, J. M. Rodriguez-Lelis, J. L. Orta-Acuna, D. Tolosa-Mata, and M. Vargas-Trevifio, "A Morlet Wavelet Signal Analysis with a Daubechies Filter for Power Quality Disturbances," in Electronics, Robotics and Automotive Mechanics Conference, 2007. CERMA 2007, 2007, pp. 675-680.
T. Zhiwei and W. Guangjian, "Neural network model-based training algorithm for transient signal analysis," in Control and Decision Conference (CCDC), 2010 Chinese, 2010, pp. 3850-3853.
Soedibyo, Pamuji, F.A., Ashari, M., Grid quality hybrid power system control of microhydro, wind turbine and fuel cell using Fuzzy logic, (2013) International Review on Modelling and Simulations (IREMOS), 6 (4), pp. 1271-1278.
E. Cox, The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems: AP Professional, 1994.
Z. Chi, H. Yan, and T. Pham, Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition: World Scientific, 1996.
Ramos, G.A., Montenegro, D., Pattern recognition of power quality disturbances based on continuous wavelet transform, (2012) International Review on Modelling and Simulations (IREMOS), 5 (1), pp. 24-29.
A. Papoulis, Probability, random variables, and stochastic processes: McGraw-Hill, 1965.
Chiodo, E., A bayes inference method for probabilistic transient stability assessment of power systems, (2013) International Review on Modelling and Simulations (IREMOS), 6 (4), pp. 1133-1149.
G. A. Ramos, A. Torres, and M. A. Rios, "Analysis of Electrical Industrial Systems using Probabilistic Networks," Latin America Transactions, IEEE (Revista IEEE America Latina), vol. 8, pp. 505-511, 2010.
M. H. J. Bollen, "Voltage sags: effects, mitigation and prediction," Power Engineering Journal, vol. 10, pp. 129-135, 1996.
K. G. Olesen, "Causal probabilistic networks with both discrete and continuous variables," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, pp. 275-279, 1993.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize