Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids

Andre Luiz de Oliveira; Carlos Eduardo Capovilla; Ivan Roberto Santana Casella; José Luis Azcue-Puma; Alfeu J. Sguarezi Filho

doi:10.1109/JAS.2021.1003883

Volume 8 Issue 3

Mar. 2021

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

CiteScore: 23.5, Top 2% (Q1)
Google Scholar h5-index: 77， TOP 5

Turn off MathJax

Article Contents

Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2021 > 8(3): 656-663

Andre Luiz de Oliveira, Carlos Eduardo Capovilla, Ivan Roberto Santana Casella, José Luis Azcue-Puma and Alfeu J. Sguarezi Filho, "Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 656-663, Mar. 2021. doi: 10.1109/JAS.2021.1003883

Citation:

Andre Luiz de Oliveira, Carlos Eduardo Capovilla, Ivan Roberto Santana Casella, José Luis Azcue-Puma and Alfeu J. Sguarezi Filho, "Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 656-663, Mar. 2021. doi: 10.1109/JAS.2021.1003883

Citation:

Andre Luiz de Oliveira, Carlos Eduardo Capovilla, Ivan Roberto Santana Casella, José Luis Azcue-Puma and Alfeu J. Sguarezi Filho, "Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids," IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 656-663, Mar. 2021. doi: 10.1109/JAS.2021.1003883

PDF( 2018 KB)

Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids

doi: 10.1109/JAS.2021.1003883

Funds: The work was supported by CAPES, CNPq (405757/2018-2), and INERGE, all from Brazil

More Information

Author Bio:
Andre Luiz de Oliveira received the M.Sc. degree from Federal University of ABC and Ph.D. degree from University of Sao Paulo, Brazil, in 2016 and 2019, respectively. His research interests include wind energy and doubly-fed induction generators

Carlos Eduardo Capovilla (M’10–SM’18) received the B.S. degree from the University of Sao Paulo (USP Sao Carlos) in 2001, the M.Sc. and Ph.D. degrees from the University of Campinas in 2004 and 2008, all in electrical engineering. He is currently a Professor with the Federal University of ABC, Brazil. His current research interests include antennas, wireless communication, energy harvesting, and smart grids technologies

Ivan Roberto Santana Casella (S’01–M’04–SM’19) received the M.S. and Ph.D. degrees in electrical engineering from University of Sao Paulo (EPUSP), Brazil. He is currently a Professor at Federal University of ABC (UFABC), Brazil. Professor Casella is one of the editors of the book Power Line Communication Systems for Smart Grids with the IET (Institution of Engineering and Technology). His current research interests include wireless communication, energy harvesting, and smart grids technologies

José Luis Azcue-Puma received the bachelor degree in electronic engineering in 2004 from Universidad Nacional del Altiplano, Peru, and the M.Sc., and Ph.D. degrees in electrical engineering from the University of Campinas (UNICAMP) in 2010 and 2013, respectively. He is currently a Professor at the Federal University of ABC (UFABC), Brazil. His main research interests include electric drives, power electronics, fuzzy and neural controllers, wind and photovoltaic energy systems

Alfeu J. Sguarezi Filho (S’03–M’11–SM’16) received the master and Ph.D. degrees from Campinas University in Brazil, in 2007 and 2010, respectively. He is a Professor at Federal University of ABC, Brazil, teaching in the areas of electrical machines, power electronics, and electrical drives. His research interests include machine drives, wind and photovoltaic energies, doubly-fed induction generators, power control, and electrical power systems
Corresponding author: C. E. Capovilla, I. R. S. Casella, J. L. Azcue-Puma, and A. J. Sguarezi Filho are with the Federal University of ABC, Santo Andre 09210-580, Brazil (e-mail: carlos.capovilla@ufabc.edu.br; ivan.casella@ufabc.edu.br; jose.azcue@ufabc.edu.br; alfeu.sguarezi@ufabc.edu.br)
Received Date: 2020-08-22
Accepted Date: 2020-10-19

Available Online: 2020-11-11

Abstract

Abstract

Wind energy can be considered a push-driver factor in the integration of renewable energy sources within the concept of smart grids. For its full deployment, it requires a modern telecommunication infrastructure for transmitting control signals around the distributed generation, in which, the wireless communication standards stand out for employing modern digital modulation and coding schemes for error correction, in order to guarantee the power plant operability. In some developing countries, such as Brazil, the high penetration of commercial mobile wireless standards GPRS and EGPRS (based on GSM technology) have captivated the interests of the energy sector, and they now seek to perform remote monitoring and control operations. In this context, this article presents a comparative performance analysis of a wireless control system for a wind SRG, when a GPRS or EGPRS data service is employed. The system performance is analyzed by co-simulations, including the wind generator dynamics and the wireless channel effects. The satisfactory results endorse the viability and robustness of the proposed system.
- General packet radio service (GPRS)/enhanced GPRS (EGPRS),
- smart grids,
- switched reluctance generator (SRG),
- wind energy,
- wireless communications

FullText(HTML)

References(43)

References

[1]	M. Godoy Simões, F. Harirchi, and M. Babakmehr, “Survey on timedomain power theories and their applications for renewable energy integration in smart-grids,” IET Smart Grid, vol. 2, no. 4, pp. 491–503, 2019. doi: 10.1049/iet-stg.2018.0244
[2]	N. Javaid, G. Hafeez, S. Iqbal, N. Alrajeh, M. S. Alabed, and M. Guizani, “Energy efficient integration of renewable energy sources in the smart grid for demand side management,” IEEE Access, vol. 6, pp. 77 077–77 096, 2018. doi: 10.1109/ACCESS.2018.2866461
[3]	M. M. Eissa, “Challenges and novel solution for wide-area protection due to renewable sources integration into smart grid: an extensive review,” IET Renewable Power Generation, vol. 12, no. 16, pp. 1843–1853, 2018. doi: 10.1049/iet-rpg.2018.5175
[4]	K. Sarker, D. Chatterjee, and S. K. Goswami, “Grid integration of photovoltaic and wind based hybrid distributed generation system with low harmonic injection and power quality improvement using biogeographybased optimization,” Renewable Energy Focus, vol. 22, no. 12, pp. 38–56, Dec. 2017.
[5]	S. K. Rathor and D. Saxena, “Energy management system for smart grid: An overview and key issues,” Int. J. Energy Research, vol. 44, no. 6, pp. 4067–4109, 2020. doi: 10.1002/er.4883
[6]	D. Han and Z. Yan, “Evaluating the impact of smart grid technologies on generation expansion planning under uncertainties,” Int. Trans. Electrical Energy Systems, vol. 26, no. 5, pp. 934–951, Jul. 2015.
[7]	M. Ghorbanian, S. H. Dolatabadi, M. Masjedi, and P. Siano, “Communication in smart grids: A comprehensive review on the existing and future communication and information infrastructures,” IEEE Systems J., vol. 13, no. 4, pp. 4001–4014, 2019. doi: 10.1109/JSYST.2019.2928090
[8]	R. N. Gore and S. P. Valsan, “Wireless communication technologies for smart grid (WAMS) deployment,” in Proc. IEEE Int. Conf. Industrial Technology, pp. 1326–1331, 2018.
[9]	C. E. Capovilla, I. R. S. Casella, F. F. Costa, L. A. Luz-de-Almeida, and A. J. Sguarezi Filho, “DFIG-based wind turbine predictive control employing a median filter to mitigate impulsive interferences on transmitted wireless references,” IEEE Trans. Industry Applications, vol. 55, no. 4, pp. 4091–4099, 2019. doi: 10.1109/TIA.2019.2903175
[10]	T. A. Zerihun, M. Garau, and B. E. Helvik, “Effect of communication failures on state estimation of 5G-enabled smart grid,” IEEE Access, vol. 8, pp. 112642–112658, 2020. doi: 10.1109/ACCESS.2020.3002981
[11]	Y. Ding, X. Li, Y. Tian, G. Ledwich, Y. Mishra, and C. Zhou, “Generating scale-free topology for wireless neighborhood area networks in smart grid,” IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 4245–4252, 2019. doi: 10.1109/TSG.2018.2854645
[12]	L. Nan, W. Yang, and L. ShanShan, “Centralized automatic meter reading system based on GPRS technology,” in Proc. 6th Int. Conf. Instrumentation Measurement, Computer, Communication and Control, pp. 549–553, 2016.
[13]	D. M. Nouh, B. Abdelaziz, E. Faissal, L. Anass, C. Nazha, and B. Jamal, “A M2M communication based on GPRS and IEC61850 for smart substations remote control,” in Proc. Int. Conf. Electrical and Information Technologies, pp. 1–5, 2017.
[14]	F. O. S. Gama, L. F. Q. Silveira, and A. O. Salazar, “Adaptive wavelet coding applied in a wireless control system,” Sensors, vol. 17, no. 12, pp. 1–14, Jul. 2015.
[15]	M. Gheisarnejad, P. Karimaghaee, J. Boudjadar, and M. Khooban, “Realtime cellular wireless sensor testbed for frequency regulation in smart grids,” IEEE Sensors J., vol. 19, no. 23, pp. 11656–11665, 2019. doi: 10.1109/JSEN.2019.2934599
[16]	M. A. Ahmed, A. M. Eltamaly, M. A. Alotaibi, A. I. Alolah, and Y. Kim, “Wireless network architecture for cyber physical wind energy system,” IEEE Access, vol. 8, pp. 40180–40197, 2020. doi: 10.1109/ACCESS.2020.2976742
[17]	C. Bajracharya, R. Grodi, and D. B. Rawat, “Performance analysis of wireless sensor networks for wind turbine monitoring systems,” SoutheastCon 2015, pp. 1–4, 2015.
[18]	ETSI, “Ts45003 v 12.1.0 release 12 – Digital cellular telecommunications system,” European Telecommunications Standards Institute, Tech. Rep., 2014.
[19]	L. Zhao, I. Brandao Machado Matsuo, Y. Zhou, and W. Lee, “Design of an industrial IoT-based monitoring system for power substations,” IEEE Trans. Industry Applications, vol. 55, no. 6, pp. 5666–5674, 2019. doi: 10.1109/TIA.2019.2940668
[20]	C. M. R. Osorio, J. Solis-Chaves, I. R. S. Casella, C. E. Capovilla, J. L. A. Puma, and A. J. Sguarezi Filho, “GPRS/EGPRS standards applied to DTC of a DFIG using fuzzy – PI controllers,” Int. J. Electrical Power &Energy Systems, vol. 93, pp. 365–373, 2017.
[21]	J. S. Solís-Chaves, L. L. Rodrigues, C. M. Rocha-Osorio, and A. J. S. Filho, “A long-range generalized predictive control algorithm for a DFIG based wind energy system,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1209–1219, 2019. doi: 10.1109/JAS.2019.1911699
[22]	M. J. Morshed and A. Fekih, “A sliding mode approach to enhance the power quality of wind turbines under unbalanced voltage conditions,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 566–574, 2019. doi: 10.1109/JAS.2019.1911414
[23]	M. S. Mahmoud and M. O. Oyedeji, “Adaptive and predictive control strategies for wind turbine systems: A survey,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 2, pp. 364–378, 2019. doi: 10.1109/JAS.2019.1911375
[24]	Y.-C. Chang and C.-M. Liaw, “Establishment of a switched reluctance generator-based common DC microgrid system,” IEEE Trans. Power Electron., pp. 2512–2526, Sept. 2011.
[25]	Y. Hu, X. Song, W. Cao, and B. Ji, “New SR drive with integrated charging capacity for plug-in hybrid electric vehicles (PHEVs),” IEEE Trans. Ind. Electron., vol. 61, no. 10, pp. 5722–5731, Oct. 2014. doi: 10.1109/TIE.2014.2304699
[26]	F. L. M. dos Santos, J. Anthonis, F. Naclerio, J. J. C.Gyselinck, H. V. der Auweraer, and L. C. S. Goes, “Multiphysics NVH modeling: Simulation of a switched reluctance motor for an electric vehicle,” IEEE Trans. Ind. Electron., vol. 61, no. 1, pp. 469–476, Jan. 2014. doi: 10.1109/TIE.2013.2247012
[27]	D. Yu, Y. Hua, S. Yu, P. Zhang, H. H. C. Iu, and T. Fernando, “A new modulation-demodulation approach to DC power-line data transmission for SRG-integrated microgrid,” IEEE Trans. Power Electronics, vol. 35, no. 11, pp. 12 370–12 382, 2020. doi: 10.1109/TPEL.2020.2984911
[28]	S. Mendez, A. Martinez, W. Millan, C. E. Montano, and F. PerezCebolla, “Design, characterization, and validation of a 1-kW AC selfexcited switched reluctance generator,” IEEE Trans. Ind. Electron., vol. 61, no. 2, pp. 846–855, Feb. 2014. doi: 10.1109/TIE.2013.2254098
[29]	S. F. Azongha, S. Balathandayuthapani, C. S. Edrington, and J. P. Leonard, “Grid integration studies of a switched reluctance generator for future hardware-in-the-loop experiments,” IEEE Int. Conf. Ind. Tech., pp. 3079–3084, Jun. 2010.
[30]	J. G. Cardoso, I. R. S. Casella, C. E. Capovilla, and A. J. Sguarezi Filho, “Comparison of wireless power controllers for induction aerogenerators connected to a smart grid based on GPRS and EGPRS standards,” J. Control,Automation and Electrical Systems, vol. 27, pp. 328–338, Jun. 2016. doi: 10.1007/s40313-016-0238-2
[31]	C. E. Capovilla, I. R. S. Casella, A. J. Sguarezi Filho, T. A. Barros, and E. Ruppert, “Performance of a direct power control system using coded wireless OFDM power reference transmissions for switched reluctance aerogenerators in a smart grid scenario,” IEEE Trans. Ind. Electron., vol. 62, no. 1, pp. 52–61, Jan. 2015. doi: 10.1109/TIE.2014.2331017
[32]	I. R. S. Casella, C. E. Capovilla, A. J. Sguarezi Filho, R. V. Jacomini, J. L. Azcue-Puma, and E. Ruppert, “An ANFIS power control for wind energy generation in smart grid scenario using wireless coded OFDM-16-QAM,” J. Control,Automation and Electrical Systems, vol. 25, pp. 22–31, 2014. doi: 10.1007/s40313-013-0089-z
[33]	R. Krishnan, Switched Reluctance Motor Drives, Modeling, Simulation, Analysis, Design and Applications. CRC Press, 2001.
[34]	K. Ogawa, N. Yamamura, and M. Ishda, “Study for small size wind power generating system using switched reluctance generator,” IEEE Int. Conf. Ind. Tech., pp. 1510–1515, 2006.
[35]	K. Kiyota, T. Kakishima, and A. Chiba, “Comparison of test result and design stage prediction of switched reluctance motor competitive with 60-kw rare-earth PM motor,” IEEE Trans. Ind. Electron., vol. 61, no. 10, pp. 5712–5721, Oct. 2014. doi: 10.1109/TIE.2014.2304705
[36]	A. Altomare, A. Guagnano, F. Cupertino, and D. Naso, “Discrete-time control of high-speed salient machines,” IEEE Trans. Industry Applications, vol. 52, no. 1, pp. 293–301, Jan. 2016. doi: 10.1109/TIA.2015.2478750
[37]	X. Li and P. Shamsi, “Inductance surface learning for model predictive current control of switched reluctance motors,” IEEE Trans. Transportation Electrification, vol. 1, no. 3, pp. 287–297, Oct. 2015. doi: 10.1109/TTE.2015.2468178
[38]	M. Karimi-Ghartema, Synchronous Reference Frame PLL in Enhanced Phase-Locked Loop Structures for Power and Energy Applications. Wiley-IEEE Press, 2014.
[39]	G. Abad, J. Lopez, M. Rodriguez, L. Marroyo, and G. Iwanski, Doubly Fed Induction Machine: Modeling and Control for Wind Energy Generation, 1st ed. Wiley-IEEE Press, 2011.
[40]	H. Buddendick, A. Weber, and M. Tangemann, “Comparison of data throughput performance in GPRS, EGPRS, and UMTS,” in Proc. World Wireless Congr., 2003, pp. 1–6.
[41]	J. S. Lee and L. E. Miller, CDMA Systems Engineering Handbook, 1st ed. Artech House, 1998.
[42]	O. Gazi, Forward Error Corr. via Channel Coding. Springer, 2020.
[43]	O. M. Kamel, A. A. Z. Diab, T. D. Do, and M. A. Mossa, “A novel hybrid ant colony-particle swarm optimization techniques based tuning STATCOM for grid code compliance,” IEEE Access, vol. 8, pp. 41566–41587, 2020. doi: 10.1109/ACCESS.2020.2976828

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(12) / Tables(1)

Get Citation

PDF

XML

Article Metrics

Article views (931) PDF downloads(30)

Highlights

Co-simulation of wind turbine and telecommunication is proposed;
The wireless transmitted signals control an SRG;
GPRS and EGPRS wireless standards are used/analyzed;
The EGPRS operating mode has shown the best performance for Smart Grids.

Co-Simulation of an SRG Wind Turbine Control and GPRS/EGPRS Wireless Standards in Smart Grids

doi: 10.1109/JAS.2021.1003883

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Highlights

Export File

Citation

Format

Content