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A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications

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Abstract

The smart grid control applications necessitate real-time communication systems with time efficiency for real-time monitoring, measurement, and control. Time-efficient communication systems should have the ability to function in severe propagation conditions in smart grid applications. The data/packet communications need to be maintained by synchronized timing and reliability through equally considering the signal deterioration occurrences, which are propagation delay, phase errors and channel conditions. Phase synchronization plays a vital part in the digital smart grid to get precise and real-time control measurement information. IEEE C37.118 and IEC 61850 had implemented for the synchronization communication to measure as well as control the smart grid applications. Both IEEE C37.118 and IEC 61850 experienced a huge propagation and packet delays due to synchronization precision issues. Because of these delays and errors, measurement and monitoring of the smart grid application in real-time is not accurate. Therefore, it has been investigated that the time synchronization in real-time is a critical challenge in smart grid applications, and for this issue, other errors raised consequently. The existing communication systems are designed with the phasor measurement unit (PMU) along with communication protocol IEEE C37.118 and uses the GPS timestamps as the reference clock stamps. The absence of GPS increases the clock offsets, which surely can hamper the synchronization process and the full control measurement system that can be imprecise. Therefore, to reduce this clock offsets, a new algorithm is needed which may consider any alternative reference timestamps rather than GPS. The revolutionary Artificial Intelligence (AI) enables the industrial revolution to provide a significant performance to engineering solutions. Therefore, this article proposed the AI-based Synchronization scheme to mitigate smart grid timing issues. The backpropagation neural network is applied as the AI method that employs the timing estimations and error corrections for the precise performances. The novel AIFS scheme is considered the radio communication functionalities in order to connect the external timing server. The performance of the proposed AIFS scheme is evaluated using a MATLAB-based simulation approach. Simulation results show that the proposed scheme performs better than the existing system.

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References

  1. Li-Baboud, Y., Nguyen, C. T., Weiss, M. A., Anand, D., Goldstein, A. R., Allnutt, J., & Subramaniam, R. (2017). Timing challenges in the smart grid (No. Special Publication (NIST SP)-1500-08).

  2. Ikbal, A. L. I., Aftab, M. A., & Hussain, S. S. (2016). Performance comparison of IEC 61850-90-5 and IEEE C37. 118.2 based wide area PMU communication networks. Journal of Modern Power Systems and Clean Energy, 4(3), 487–495.

    Article  Google Scholar 

  3. Alexandru M. et al., (2011). From SCADA to smart grid in power transmission and distribution systems, 1070, Bulletinul, general association of engineers in Romania (AGER), November 2011.

  4. Canevese, S., Ciapessoni, E., Cirio, D., Pitto, A., & Rapizza, M. (2016, April). Wide area system Protection Scheme design with an Artificial Intelligence approach considering communication constraints. In Energy conference (ENERGYCON), 2016 IEEE international (pp. 1–6). IEEE. https://doi.org/10.1109/energycon.2016.7514080.

  5. Kumar, L. A., & Karthikeyan, S. (2016, October). Modeling of Phasor Measurement Unit for Wide Area Monitoring and control of Smart Grids with Distributed Energy Resources. In 2016 IEEE conference on technologies for sustainability (SusTech). (pp. 188–194). IEEE. https://doi.org/10.1109/sustech.2016.7897165.

  6. Narendra, K. (2007). Role of phasor measurement unit (Pmu) in wide area monitoring and control. Winnipeg: Erlphase Power Technology Ltd.

    Google Scholar 

  7. IEEE Standard for Synchrophasor Measurements for Power Systems. (2011). in IEEE Std C37.118.1-2011 (Revision of IEEE Std C37.118-2005), Dec. 28 2011.

  8. Miklos M., Branislav K., Gyula S., Akos L. (2004). The flooding time synchronization protocol. In Proceedings of the 2nd international conference on Embedded networked sensor systems—SenSys ‘04(2004). https://doi.org/10.1145/1031495.1031501.

  9. Khan, R., McLaughlin, K., Laverty, D., & Sezer, S. (2016). Analysis of IEEE C37. 118 and IEC 61850-90-5 synchrophasor communication frameworks. In Power and energy society general meeting (PESGM), 2016 (pp. 1–5). IEEE. https://doi.org/10.1109/pesgm.2016.7741343.

  10. IEEE Standard Profile for IEEE 1588 precision time protocol for power systems applications, IEEE Std C37.238, July 2011.

  11. IEC/IEEE Communication networks and systems for power utility automation: Precision time protocol profile for utility automation, IEC/IEEE 61850-9-3, May 2016.

  12. Lee, S., Lee, S., & Hong, C. (2012). An accuracy enhanced IEEE 1588 synchronization protocol for dynamically changing and asymmetric wireless links. IEEE Communications Letters, 16(2), 190–192. https://doi.org/10.1109/LCOMM.2011.092011.110582.

    Article  Google Scholar 

  13. Montini, L., Frost, T., Dowd, G., & Shankarkumar, V. (2017). Precision time protocol version 2 (PTPv2) management information base. Information base (No. RFC 8173).

  14. Yıldırım, K. S., Carli, R., & Schenato, L. (2017). Adaptive Proportional-Integral Clock Synchronization in Wireless Sensor Networks. IEEE Transactions on Control Systems Technology. https://doi.org/10.1109/TCST.2017.2692720.

    Article  Google Scholar 

  15. AN-1838 IEEE 1588 Boundary clock and transparent-clock implementation using the DP83640, Texas Instruments, Application Report, SNLA104A–April 2008–Revised April 2013. Available[online] http://www.ti.com/lit/an/snla104a/snla104a.pdf.

  16. Fan, D., & Centeno, V. (2007). Phasor-based synchronized frequency measurement in power systems. IEEE Transactions on Power Delivery, 22(4), 2010–2016. https://doi.org/10.1109/TPWRD.2007.905371.

    Article  Google Scholar 

  17. M. Aneeq, F. Ring. (2010). Software-based clock synchronization over IEEE 802.11 wireless LAN and its role in wired-wireless networks. In International IEEE symposium on precision clock synchronization for measurement control and communication (ISPCS), (pp. 61–66). https://doi.org/10.1109/ispcs.2010.5609767.

  18. Hasan, M. K., Saeed, R. A., Alsaqour, R. A., Ismail, A. F., Aisha, H. A., & Islam, S. (2015). Cluster-based time synchronisation scheme for femtocell network. International Journal of Mobile Communications, 13(6), 567–598. https://doi.org/10.1504/IJMC.2015.072063.

    Article  Google Scholar 

  19. Hasan, M. K., Ismail, A. F., Abdalla, A. H., Ramli, H. A. M., Hashim, W., Razzaque, A., & Khairolanuar, M. H. (2016). A Self-organizing approach: Time synchronization for the HeNodeBs in heterogeneous network. In Advanced computer and communication engineering technology, (pp. 365–374). Springer International Publishing, https://doi.org/10.1007/978-3-319-24584-3_30.

  20. Hasan, M. K., Saeed, R. A., Abdalla, A. H., Islam, S., Mahmoud, O., Khalifah, O., & Ismail, A. F. (2011). An investigation of femtocell network synchronization. In 2011 IEEE conference on open systems (ICOS), (pp. 196–201). IEEE. https://doi.org/10.1109/icos.2011.6079232.

  21. Hasan, M. K., Yousoff, S. H., Ahmed, M. M., Hashim, A. H., Ismail, A. F., & Islam, S. (2019). Phase offset analysis of asymmetric communications infrastructure in smart grid. Elektronika ir Elektrotechnika, 25(2), 67–71.

    Article  Google Scholar 

  22. Hasan MK, Ahmed MM, Janin Z, Khan S, Abdalla AH, Islam S (2018). Delay analysis of two-way synchronization scheme for phasor measurement unit based digital smart grid applications. In 2018 IEEE 5th international conference on smart instrumentation, measurement and application (ICSIMA), (pp. 1–6). IEEE.

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Authors and Affiliations

  1. Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), 43600, UKM, Bangi, Malaysia

    Mohammad Kamrul Hasan

  2. Department of Electrical and Electronics Engineering, Universiti Malaysia Sarawak, 94300, Kota Samarahan, Malaysia

    Musse Mohamud Ahmed

  3. Department of Electrical and Computer Engineering, International Islamic University, Gombak, Malaysia

    Aisha Hassan Abdalla Hashim

  4. Department of Computer Science and Engineering, Green University of Bangladesh, Dhaka, Bangladesh

    Abdur Razzaque

  5. Institute of Computer Science and Digital Innovation, UCSI University, 56000, Kuala Lumpur (South Wing), Malaysia

    Shayla Islam

  6. Gyancity Research Lab, Gurgaon, India

    Biswajeet Pandey

Authors
  1. Mohammad Kamrul Hasan
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  2. Musse Mohamud Ahmed
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  3. Aisha Hassan Abdalla Hashim
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  4. Abdur Razzaque
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Correspondence to Mohammad Kamrul Hasan.

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Hasan, M.K., Ahmed, M.M., Hashim, A.H.A. et al. A Novel Artificial Intelligence Based Timing Synchronization Scheme for Smart Grid Applications. Wireless Pers Commun 114, 1067–1084 (2020). https://doi.org/10.1007/s11277-020-07408-w

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