Neural estimation of voltage-sag waveforms of non-monitored sensitive loads at monitored locations in distribution networks considering DGs

Electric Power Systems Research

Volumn 92, Issue , 2012, Pages 123-137

  Deihimi, Ali ^a   Momeni, Abolfazl ^a  

^a BU ALI SINA UNIVERSITY   (Iran)

Author keywords

Distributed generation; Echo state network; Power quality monitoring; Voltage sag

Indexed keywords

DISTRIBUTED GENERATIONS (DGS); ECHO STATE NETWORKS; ECONOMICAL EFFICIENCY; FAULT CLEARING; FAULT RESISTANCES; FAULT TYPES; FINANCIAL LOSS; HIGH SENSITIVITY; LOAD DEMAND; LOCAL MEASUREMENT; MONITORING CAPABILITIES; NETWORK CONDITION; NEURAL ESTIMATION; OPTIMUM ALLOCATION; OPTIMUM LOCATION; POWER QUALITY MONITORING; SENSITIVE LOADS; SWITCHING CAPACITORS; VOLTAGE SAGS; WAVE FORMS;

DISTRIBUTED POWER GENERATION; ELECTRIC EQUIPMENT; LOSSES; NEURAL NETWORKS; VOLTAGE STABILIZING CIRCUITS;

ESTIMATION;

EID: 84864044808     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2012.06.013     Document Type: Article

References (37)

1. R.C. Dugan, M.F. McGranaghan, S. Santo, and H.W. Beaty Electrical Power System Quality 2nd ed. 2003 McGraw-Hill New York
2. M.H.J. Bollen Understanding Power Quality Problems: Voltage Sags and Interruptions 2000 IEEE Press New York
3. P.F. Comesana, D.F. Freijedo, J.D. Gandoy, O. Lopez, A.G. Yepes, and J. Malvar Mitigation of voltage sags, imbalances and harmonics in sensitive industrial loads by means of a series power line conditioner Electric Power Systems Research 84 2012 20 30
4. M. Zhang, K. Li, and Y. Hu A real-time classification method of power quality disturbances Electric Power Systems Research 81 2011 660 666
5. J.G.M.S. Decanini, M.S. Tonelli-Neto, F.C.V. Malange, and C.R. Minussi Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network Electric Power Systems Research 81 2011 2057 2065
6. S.K. Meher, and A.K. Pradhan Fuzzy classifiers for power quality events analysis Electric Power Systems Research 80 2010 71 76
7. A. Deihimi, and A. Momeni A two-stage artificial neural network classifier to discriminate three-phase unbalanced voltage sag types International Review on Modelling and Simulations 4 2011 2305 2311
8. G. Shen, Y. Chen, and X. Li Study of distribution network voltage sags using a real-time power quality monitoring system Gaodianya Jishu/High Voltage Engineering 32 2006 97 99
9. D. Gallo, C. Landi, and M. Luiso Issues in the characterization of power quality instruments, Measurement Journal of the International Measurement Confederation 43 2010 1069 1076
10. Y. Zhang, G. Weng, and Y. Cao Distribution line carrier communication in networked power quality monitoring system Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 25 2010 116 122
11. G. Weng, and Y. Zhang Design of a networked power quality monitoring and analysis system Dianli Xitong Zidonghua/Automation of Electric Power Systems 32 2008 79 83
12. J. Mindykowski, and T. Tarasiuk Development of DSP-based instrumentation for power quality monitoring on ships Measurement 43 2010 1012 1020
13. B.K. Panigrahi, P.K. Dash, and J.B.V. Reddy Hybrid signal processing and machine intelligence techniques for detection, quantification and classification of power quality disturbances Engineering Applications of Artificial Intelligence 22 2009 442 454
14. A. Kumar, B. Das, and J. Sharma Genetic algorithm-based meter placement for static estimation of harmonic sources IEEE Transactions on Power Delivery 20 2005 1088 1096
15. C.F.M. Almeida, and N. Kagan Using genetic algorithms and fuzzy programming to monitor voltage sags and swells IEEE Intelligent Systems 26 2011 46 53
16. A.A. Ibrahim, A. Mohamed, H. Shareef, and S.P. Ghoshal An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization International Conference on Electrical Engineering and Informatics ICEEI 2011
17. G. Olguin, F. Vuinovich, and M.H.J. Bollen An optimal monitoring program for obtaining voltage sag system indexes IEEE Transactions on Power Systems 21 2006 378 384
18. G.W. Chang, J.P. Chao, H.M. Huang, C.I. Chen, and S.Y. Chu On tracking the source location of voltage sags and utility shunt capacitor switching transients IEEE Transactions on Power Systems 23 2008 2124 2131
19. A. Kazemi, A. Mohamed, and H. Shareef A new power quality monitor placement method using the multivariable regression model and statistical indices International Review of Electrical Engineering 6 2011 2530 2536
20. E.E. Juárez, A. Hernández, and G. Olguin An approach based on analytical expressions for optimal location of voltage sags monitors IEEE Transactions on Power Delivery 24 2009 2034 2042
21. F. Salim, and K.M. Nor Voltage sags observation through optimal monitor locations International Conference on Harmonics and Quality of Power ICHQP 2010
22. X. Dai, H. Yang, and W. Cai An optimum allocation method of power quality monitors by considering voltage dip Asia-Pacific Power and Energy Engineering Conference APPEEC 2011
23. Y.Y. Hong, and Y.Y. Chen Placement of power quality monitors using enhanced genetic algorithm and wavelet transform IET Generation, Transmission & Distribution 5 2011 461 466
24. Z. Wei, S. Wu, G. Sun, L. Tang, and C. Wang Optimal placement of power quality monitors based on multi-objective evolutionary algorithm Dianwang Jishu/Power System Technology 36 2012 176 181
25. A.A. Ibrahim, A. Mohamed, and H. Shareef Optimal placement of power quality monitors in distribution systems using the topological monitor reach area IEEE International Electric Machines and Drives Conference IEMDC 2011
26. D.J. Won, and S.I. Moon Optimal number and locations of power quality monitors considering system topology IEEE Transactions on Power Delivery 23 2008 288 295
27. N.R. Watson Power quality state estimation European Transactions on Electrical Power 20 2010 19 33
28. E.E. Juárez, and A. Hernández A method for voltage sag state estimation in power systems IEEE Transactions on Power Delivery 22 2007 2517 2526
29. B. Wang, W. Xu, and Z. Pan Voltage sag state estimation for power distribution systems IEEE Transactions on Power Systems 20 2005 806 812
30. G. Yalcinkaya, M.H.J. Bollen, and P.A. Crossley Characterization of voltage sags in industrial distribution systems IEEE Transactions on Industry Applications 34 1998 682 688
31. J. Pedra, F. Córcoles, and F.J. Suelves Effects of balanced and unbalanced voltage sags on VSI-fed adjustable-speed drives IEEE Transactions on Power Delivery 20 2005 224 233
32. B. Renders, K. De Gussemé, W.R. Ryckaert, K. Stockman, L. Vandevelde, and M.H.J. Bollen Distributed generation for mitigating voltage dips in low-voltage distribution grids IEEE Transactions on Power Delivery 23 2008 1581 1588
33. H. Jaeger, The echo state approach to analysing and training recurrent neural networks, GMD report 148, German National Research Center for IT. http://cseweb.ucsd.edu/users/gary/258a/papers/EchoStatesTechRep.pdf, 2001 (date: 2011.07.23).
34. M. Lukosevicius, and H. Jaeger Reservoir computing approaches to recurrent neural network training Computer Science Review 3 2009 127 149
35. G.K. Venayagamoorthy, and B. Shishir Effects of spectral radius and settling time in the performance of echo state networks Neural Networks 22 2009 861 863
36. W.H. Kersting Radial distribution test feeders IEEE/PES Winter Meeting 2001
37. A. Bertani, C. Bossi, F. Fornari, S. Massucco, S. Spelta, and F. Tivegna A microturbine generation system for grid connected and islanding operation IEEE PSCE New York 2004