Description of Two-Peak Characteristics in Power Engineering

Tetiana Lutchyn

doi:doi:10.11648/j.ajep.20150402.14

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Description of Two-Peak Characteristics in Power Engineering

Tetiana Lutchyn

Published in American Journal of Environmental Protection (Volume 4, Issue 2)

Received: 24 January 2015 Accepted: 9 February 2015 Published: 3 March 2015

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Abstract

Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.

Published in	American Journal of Environmental Protection (Volume 4, Issue 2)
DOI	10.11648/j.ajep.20150402.14
Page(s)	95-100
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Multiresolutional Analysis, Wavelet Analysis, Description, Two-Peak Characteristics

References

[1]	А. Voloshko, Т. Lutchyn, “Principle of Determining Informative Wavelet Transformed Values in a Partial Restoration of Original Data Sample”, Registration, Storing and Data Process, 14:4 (2012), 33-40. – (in Rus.).
[2]	W. Lian, A. Mao, L. Zhang, “A Method for Cascading Failure Simulation based on Static Security Analysis”, 10.1109/APPEEC.2009.4918053.
[3]	A. Vahidnia, A. Dastfan, M. Banejad, “Determination of Harmonic Load Characteristics in Distribution Networks of Cities” Power Engineering, Energy and Electrical Drives, 2009. POWERENG '09. Intern. Conf., (2009), 442-446.
[4]	Z. Zakaria, K. L. Lo, “Two-stage Fuzzy Clustering Approach for Load Profiling”, Universities Power Engineering Conference (UPEC), 2009 Proc. of the 44thIntern., (2009), 1-5.
[5]	X. Ge, L. Zhang, Ya. Yang, “Multi-objective Hydro Optimal Scheduling with Flow Time”, 10.1109/PowerCon.2012.6401259.
[6]	L. Kipinski, R. Konig, C. Sieluzycki, “Application of modern tests for stationarity to singletrial MEG data. Transferring powerful statistical tools from econometrics to neuroscience”, Biological Cybernetics, 105 (2011), 183–195.
[7]	Yu. Yagi, Yu. Fukahata, “Introduction of uncertainty of Green’s function into waveform inversion for seismic source processes”, Geophysical Journal International, 186 (2011), 711–720.
[8]	A. C. Iliopoulos, G. P. Pavlos, “Global Low Dimensional Seismic Chaos in the Hellenic Region”, International Journal of Bifurcation and Chaos, 20:7 (2010), 2071-2095.
[9]	C. L. Bain, J. de Paz, J. Kramer, “Detecting the ITCZ in Instantaneous Satellite Data using Spatiotemporal Statistical Modeling: ITCZ Climatology in the East Pacific”, American Meteorological Society, 24 (2011), 216-230.
[10]	T. Kozu, K. Masuzawa, T. Shimomai, “Estimation of No* for the Two-Scale Gamma Raindrop Size Distribution Model and Its Statistical Properties at Several Locations in Asia”, Journal of Applied Metrology and Climatology, 49 (2010), 676–686.
[11]	F. Qi, X. Liu, Yi. Ma, “Synthesis of neural tree models by improved breeder genetic programming”, Neural Computing & Applications, 21 (2012), 515–521.
[12]	M. M. Katsova, I. M. Livshits, J. Sykora, “The Rotation of the Sun as a Star from the Green-Line Emission of the Entire Corona”, Astronomy Reports 86:4 (2009), 343-354.
[13]	Th. Candela, F. ois Renard, M. Bouchon, “Characterization of Fault Roughness at Various Scales: Implications of Three-Dimensional High Resolution Topography Measurements”, Pure & Applied Geophysic, 166 (2009), 1817–1851.
[14]	R. Liu, M. Chen, H.-X. Wang, “Study on Grouping Control Strategy of AGC Units”, 10.1109/ISGT-Asia.2012.6303348.
[15]	J. A. Jardini, C. M. V. Tahan, E. L. Ferrari, S. U. Ahn, “Selection of Distribution Transformer Based on Economic Criteria”, Electricity Distribution. Part 1: Contributions. CIRED. 14th Intern. Conf. and Exhibition, 6 (1997), 7.
[16]	M. H. Shariatkhah, M. R. Haghifam, “Determining of Annual Distribution Feeder Configuration Using Load Curves Clustering”, Electrical Power Distribution Networks (EPDC), 2011 16th Conf., (2011)
[17]	Ch. Preet, G. Yadwinder, B. Kanwardeep, “Incentive Based Demand Response Program: an Effective Way to Tackle Peaking Electricity Crisis”, 10.1109/CCECE.2012.6334813.
[18]	G. I. Rhodes, “A Method of Studying Power Costs with Reference to the Load Curve and Overload Economies” American Institute of Electrical Engineers, (1912), 81-100.
[19]	S. Kahrobaee, R. A. Rajabzadeh, L-K. Soh, “A Multiagent Modeling and Investigation of Smart Homes With Power Generation, Storage, and Trading Features”, Smart Grid, IEEE Transactions, 4:2 (2012), 659-668.
[20]	S. V. Verdu, M. O. Garcia, F. J. G. Franco, “Characterization and Identification of Electrical Customers Through the Use of Self-Organizing Maps and Daily Load Parameters”, Power Systems Conf. and Exposition, 2004. IEEE PES, 2 (2004), 899-906.
[21]	J. A. Jardini, C. M. V. Tahan, M. R. Gouvea, “Daily Load Profiles for Residential, Commercial and Industrial Low Voltage Consumers”, Power Delivery, IEEE Transactions, 15:1 (2000), 375-380.
[22]	A. L. Shenkman, “Energy Loss Computation by Using Statistical Techniques”, IEEE Transactions on Power Delivery, 5:1 (1990), 254-258.
[23]	P. Kadar, “Understanding customer behavior”, 10.1109/TDC-LA.2008.4641800.
[24]	Sh. Yang, Yi. Zhang, “Short-term Load Forecast Based on Decomposition of Daily Load Curve”, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE) 3 (2010), 65-68.
[25]	Yu. Sabri, N. Hariyanto, F. Fitriana, “Spatial Short-Term Load Forecasting using Grey Dynamic Model Specific in Tropical Area”, 10.1109/ICEEI.2011.6021776.
[26]	Q. Ding, J. Lu, H. Liao, “A Practical Super Short Term Load Forecast Method and Its Implementations”, Power Systems Conference and Exposition, 2004. IEEE PES, 1 (2004), 483-486.
[27]	M. B. Tasre, V. N. Ghate, P. P. Bedekar, “Comparative Analysis of Hourly Load Forecast for a Small Load Area”, 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET) (2012), 80-85.
[28]	F. X. Xie, M. Huang, W. G. Zhang, “Research on Electric Vehicle Charging Station Load Forecasting”, The International Conference on Advanced Power System Automation and Protection 2011 IEEE (2011), 2055-2060.
[29]	R. Afkhami, F. M. Yazdi, “Application of Neural Networks for Short-Term Load Forecasting”, 10.1109/POWERI.2006.1632536.
[30]	M. Lopez, S. Valero, C. Senabre, “A SOM Neural Network Approach to Load Forecasting. Meteorological and Time Frame Influence”, 10.1109/PowerEng.2011.6036553.
[31]	J. Nazarko, A. Jurczuk, W. Zalewski, “ARIMA Models in Load Modelling with Clustering Approach”, 10.1109/PTC.2005.4524719.
[32]	P. T. T. Binh, N. T. Hung, P. Q. Dung, “Load Forecasting Based on Wavelet Transform and Fuzzy Logic”, 10.1109/PowerCon.2012.6401281.
[33]	I. Erkmen, A. Ozdogan, “Short Term Load Forecasting Using Genetically Optimized Neural network Cascaded with a Modified Kohonen Clustering Process”, Proceedings of the 12th IEEE International Symposium on Intelligent Control (1997), 107-112.
[34]	D. Srinivasan, A.C. Liew, C.S. Chang, “Forecasting daily load curves using a hybrid fuzzyneutral approach”, IEE Processing-Generation, Transmission, Distribution, 141:6 (1994), 561-567.
[35]	D. M. FalcZio, H.O. Henriques, “Load Estimation in Radar Distribution Systems Using Networks and Fuzzy Set Techniques”, Power Engineering Society Summer Meeting, 2 (2001), 1002-1006.
[36]	M. Elsayed, “An overview of wavelet analysis and its application to ocean wind waves”, Journal of Coastal Research, 26:3 (2010), 535–540.
[37]	G. M. Menanno, A. Mazzotti, “Deconvolution of multicomponent seismic data by means of quaternions: Theory and preliminary results”, Geophysical Prospecting, 60 (2012), 217–238.
[38]	M. R. Homaeinezhad, M. Aghaee, H. N. Toosi, “Application of the Discrete Wavelet Transform for the Robust Detection of the Impulsive Incidences: Application to Arterial Blood Pressure Characteristic Events Detection-Delineation”, International Journal of Wavelets, Multiresolution and Information Processing, 9:5 (2011), 813–842.
[39]	G. Hall, S. Woodborne, M. Pienaar, “Rainfall control of the δ13C ratios of Mimusops caffra from KwaZulu-Natal, South Africa”, The Holocene, 19:2 (2009), 251–260.
[40]	Kh. Mistry, R. Roy, “Enhancement of Voltage Stability Index of Distribution System by Network Reconfiguration Including Static Load Model and Daily Load Curve”, Innovative Smart Grid Technologies - India (ISGT India), 2011 IEEE PES21 (2011), 65-68.
[41]	D. Raisz, A. M. Dan, “Ripple Control as a Possible Tool for Daily Load Balancing in an Open Electricity Market Environment”, 10.1109/PTC.2005.4524451.
[42]	I. М. Dremin, О. V. Ivanov, V. А. Nechytailo, “Wavelets and its Usage”, SFS, 171:5 (2001), 465–501. – (in Rus.).
[43]	А. Voloshko, Т. Lutchyn, “Analysis of the Efficiency of Measures Compress of Schedules of Electrical Loads Аналіз ефективності міри стиснення графіків електричних навантажень”, Vinnitsa NTU, 16:4 (2011), 209-214. – (in Ukr.).

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Tetiana Lutchyn. (2015). Description of Two-Peak Characteristics in Power Engineering. American Journal of Environmental Protection, 4(2), 95-100. https://doi.org/10.11648/j.ajep.20150402.14

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ACS Style

Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am. J. Environ. Prot. 2015, 4(2), 95-100. doi: 10.11648/j.ajep.20150402.14

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AMA Style

Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am J Environ Prot. 2015;4(2):95-100. doi: 10.11648/j.ajep.20150402.14

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@article{10.11648/j.ajep.20150402.14,
  author = {Tetiana Lutchyn},
  title = {Description of Two-Peak Characteristics in Power Engineering},
  journal = {American Journal of Environmental Protection},
  volume = {4},
  number = {2},
  pages = {95-100},
  doi = {10.11648/j.ajep.20150402.14},
  url = {https://doi.org/10.11648/j.ajep.20150402.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20150402.14},
  abstract = {Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.},
 year = {2015}
}

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TY  - JOUR
T1  - Description of Two-Peak Characteristics in Power Engineering
AU  - Tetiana Lutchyn
Y1  - 2015/03/03
PY  - 2015
N1  - https://doi.org/10.11648/j.ajep.20150402.14
DO  - 10.11648/j.ajep.20150402.14
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 95
EP  - 100
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20150402.14
AB  - Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.
VL  - 4
IS  - 2
ER  -

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Author Information

Tetiana Lutchyn

National Technical University of Ukraine "Kyiv Polytechnic Institute”, Institute for Energy Saving and Energy Management, Kyiv, Ukraine

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APA Style

Tetiana Lutchyn. (2015). Description of Two-Peak Characteristics in Power Engineering. American Journal of Environmental Protection, 4(2), 95-100. https://doi.org/10.11648/j.ajep.20150402.14

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ACS Style

Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am. J. Environ. Prot. 2015, 4(2), 95-100. doi: 10.11648/j.ajep.20150402.14

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AMA Style

Tetiana Lutchyn. Description of Two-Peak Characteristics in Power Engineering. Am J Environ Prot. 2015;4(2):95-100. doi: 10.11648/j.ajep.20150402.14

Copy | Download

@article{10.11648/j.ajep.20150402.14,
  author = {Tetiana Lutchyn},
  title = {Description of Two-Peak Characteristics in Power Engineering},
  journal = {American Journal of Environmental Protection},
  volume = {4},
  number = {2},
  pages = {95-100},
  doi = {10.11648/j.ajep.20150402.14},
  url = {https://doi.org/10.11648/j.ajep.20150402.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajep.20150402.14},
  abstract = {Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Description of Two-Peak Characteristics in Power Engineering
AU  - Tetiana Lutchyn
Y1  - 2015/03/03
PY  - 2015
N1  - https://doi.org/10.11648/j.ajep.20150402.14
DO  - 10.11648/j.ajep.20150402.14
T2  - American Journal of Environmental Protection
JF  - American Journal of Environmental Protection
JO  - American Journal of Environmental Protection
SP  - 95
EP  - 100
PB  - Science Publishing Group
SN  - 2328-5699
UR  - https://doi.org/10.11648/j.ajep.20150402.14
AB  - Many branches of Power Engineering have the same problems with signal processing. However they can be solved by a general approach. One of these problems is the complexity of signal description with the inertial change (without sharp peaks and dips), but the signal is a complex shape without symmetry and poorly responds to the cycling laws. Also offered, if it is necessary, to use the segmentation of the original signal with further Multiresolutional analysis. As a result, it is possible to make the selection with the most informative wavelet coefficients which can significantly reduce the quantity of the original data set with accuracy within acceptable limits.
VL  - 4
IS  - 2
ER  -

Copy | Download