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Synchrophasors data analytics framework for power grid control and dynamic stability monitoring

Synchrophasors data analytics framework for power grid control and dynamic stability monitoring

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This article develops a framework for phasor analytics necessary to enable advanced wide-area control and monitoring applications. The key component in this building is the smart phasor measurement unit for control (PMU/C) which from the substation can feed accurate fundamental and low order harmonics phasors to the phasor data concentrator at a higher than the standard rate of one point per cycle. The second piece of the building is the dynamic generator state estimation, which is mandatory to enhance the observability of dynamic phenomena and thus, improves control performance and protection dependability. Following dynamic state estimation, a combined time and frequency domain processing of voltage, angle and frequency measurements based on S-transform is proposed as a good mean for extracting critical features which enable crisper information that are more easily interpretable than the raw phasor time-series. Gluing all the proposed pieces at both substation and supervisory levels, it is possible to build a smart wide-area situational awareness system, able to close the loop through educated and well informed operators for handling geomagnetic disturbance (GMD) impacts on the grid and/or through fast control and automation devices for dealing with stability issues.

References

    1. 1)
      • [1]. Wald, M.L.: ‘For the smart grid, a ‘Synchrophasor’’, The New York Times 1 April 2010. Available at http://green.blogs.nytimes.com/2010/04/01/for-the-smart-grid-a-synchophasor/?_r=1 accessed on 14 May 2016.
    2. 2)
      • [2]. A Business Case Study on Applying Synchrophasor Measurement technology and Applications in the California and Western Electricity Coordinating Council, California Energy Commission Report CEC-500-2013-045. Available at http://www.energy.ca.gov/2013publications/CEC-500-2013-045/CEC-500-2013-045.pdf accessed on 14 May 2016.
    3. 3)
      • [3]. Foster, T.: ‘Measurement tools at heart of smart grid need calibration to ensure reliability’o|. Available at http://www.utilityproducts.com/articles/print/volume-7/issue-7/product-focus/test-__measurement/measurement-tools.html accessed on 14 May 2016.
    4. 4)
      • [4]. The Future of Electric Grid, An Interdisciplinary MIT Study, 2011. Available at http://mitei.mit.edu/system/files/Electric_Grid_Full_Report.pdf accessed on 14 May 2016.
    5. 5)
      • [5]. Chan, S., Sala, S.: ‘Sensemaking and robust decision engineering: synchrophasors and their application for a secure smart grid’. 7th IEEE Int. Conf. on Digital Ecosystems and Technologies (DEST), 2013, pp. 102107.
    6. 6)
      • [6]. Khan, M., Li, M., Ashton, P., et al: ‘Big data analytics on PMU measurements’. 2014 11th Int. Conf. on Fuzzy Systems and Knowledge Discovery (FSKD), 19–21 August 2014, pp. 715719.
    7. 7)
    8. 8)
      • [8]. Basu, C., Padamanaban, M., Guillon, S., et al: ‘Situational awareness for the electrical power grid’, IBM J. Res. Dev. Spec. Issue Smarter Energy, 2016, 60, (1), pp. 111.
    9. 9)
      • [9]. Zhang, Q., Luo, X., Litvinov, E., et al: ‘Advanced grid event analysis at ISO New England using PhasorPoint’. 2014 IEEE PES General meeting, National Harbour, MD, USA, 27–31 July 2014, pp. 15.
    10. 10)
      • [10]. Chen, J., Shrestha, P., Huang, S.-H., et al: ‘Use of synchronized phasor measurements for dynamic stability monitoring and model validation in ERCOT’. 2012 IEEE PES General Meeting, San Diego, CA, USA, 22–26 July 2012, pp. 17.
    11. 11)
      • [11]. Rampurkar, V., Pentayya, P., Mangalvedekar, H.A., et al: ‘Cascading failure analysis for Indian power grid’, IEEE Trans. Smart Grid, 2016, 99, pp. 110(early access).
    12. 12)
      • [12]. Wu, Z.: ‘Synchronized phasor measurement applications in three-phase power systems’. PhD Dissertation in Electrical Engineering, Virginia Polytechnic Institute and State University, March2013. Available at https://vtechworks.lib.vt.edu/bitstream/handle/10919/51660/Wu_Z_D_2013.pdf?sequence=1 accessed on 14 May 2016.
    13. 13)
      • [13]. Sychrophasor Technologies and their Deployment in the Recovery Act Smart Grid Programs: DOE Report, July 2013. Available at https://www.smartgrid.gov/document/synchrophasor_technologies_and_their_deployment_recovery_act_smart_grid_programs accessed on 14 May 2016.
    14. 14)
      • [14]. IEEE Certified C37.118 PMU. Available at https://www.vizimax.com/products-services/phasor-measurement-unit accessed on 14 May 2016.
    15. 15)
      • [15]. Micro-synchrophasors for Electric Distribution Systems, CleanTech to Market, December 2013, p. 84.
    16. 16)
    17. 17)
    18. 18)
      • [18]. Zhang, Q., Vittal, V., Heydt, G.T., et al: ‘The integrated calibration of synchronized phasor measurement data in power transmission systems’, IEEE Trans. Power Deliv., 2011, 26, (4).
    19. 19)
      • [19]. Cyr, C., Kamwa, I., O'Reilly, R., et al: ‘Development and testing of phasor data concentrators for a wide-area control system’. 37th Annual Western Protective Relay Conference (WPRC-2010), Spokane, WA, USA, pp. 114.
    20. 20)
    21. 21)
      • [21]. Thakur, S., Chakrabortty, A.: ‘Multi-dimensional wide-area visualization of power system dynamics using synchrophasors’. 2013 IEEE Power and Energy Society General Meeting (PES), Vancouver, Canada, 21–25 July 2013, pp. 15.
    22. 22)
      • [22]. Perron, M., Kamwa, I., Heniche, A., et al: ‘Innovative wide-area and local voltage control of dynamic shunt compensation devices to prevent voltage collapse’. CIGRÉ 2016 Session, Paris, pp. 110.
    23. 23)
      • [23]. Kaci, A., Kamwa, I., Dessaint, L.-A., et al: ‘Phase angles as predictors of network dynamic security limits and further implications’. 2014 IEEE PES General Meeting, Panel Session on the Future of DSA, National Harbor, MD, 27–31 July, pp. 15.
    24. 24)
    25. 25)
      • [25]. Kamwa, I., Beland, J., Trudel, G., et al: ‘Wide-area monitoring and control at Hydro-Quebec: past, present and future’. IEEE PES General Meeting, Montreal, Quebec, Canada, 18–22 June 2006.
    26. 26)
    27. 27)
    28. 28)
    29. 29)
      • [29]. Phadke, A.G., Principal Investigator: ‘Synchrophasor based tracking three-phase state estimator and its applications’, Final report of DOE Award Number: DE-OE0000118, 31 August 2013. Available at http://www.osti.gov/scitech/servlets/purl/1128928 accessed on 14 May 2016.
    30. 30)
      • [30]. Jones, K.: ‘Three-phase linear state estimation with phasor measurements’. Ms.Sc Dissertation, Elect. Comput. Eng. Dept., Virginia Polytech. Inst. State Univ., Blacksburg, VA, USA, 2May2011. Available at http://scholar.lib.vt.edu/theses/available/etd-05022011-141649/unrestricted/Jones_KD_T_2011.pdf accessed on 14 May 2016.
    31. 31)
      • [31]. Lafond, C., Kamwa, I., Prévost, J., et al: ‘Coherence verification of transmission line parameters with PMUs measurements at its ends’. IEEE 28th Canadian Conf. on Electrical and Computer Engineering, Halifax, Canada, May 2015, pp. 519524.
    32. 32)
    33. 33)
    34. 34)
    35. 35)
      • [35]. Ren, J., Ren, J.: ‘Synchrophasor measurement using substation intelligent electronic devices: algorithms and test methodology’. PhD Dissertation in Electrical Engineering, Texas A&M University, December2011, p. 187. Available at http://oaktrust.library.tamu.edu/bitstream/handle/1969.1/ETD-TAMU-2011-12-10388/REN-DISSERTATION.pdf accessed on 14 May 2016.
    36. 36)
      • [36]. Chompoobutrgool, Y., Vanfretti, L., Ghandhari, M.: ‘Survey on power system stabilizers control and their prospective applications for power system damping using synchrophasor-based wide-area systems’, Int. Trans. Electr. Energy Syst., 2011, 21, (8), pp. 20982111.
    37. 37)
      • [37]. Tada, Y., Chiang, H.D., Li, H., et al: ‘A hierarchical WAMPAC system: demonstration and evaluation’. 2013 IEEE PES General Meeting 2013, Vancouver, Canada, 21–25 July 2013, pp. 15. Available at http://www.cbip.org/TechnicalPapers/PS1/D2-01_24.pdf accessed on 14 May 2016.
    38. 38)
    39. 39)
    40. 40)
    41. 41)
    42. 42)
      • [42]. IEEE Task Force Report: ‘Identification of electromechanical modes in power systems’. IEEE PES Special publication TP462, June2012. Available at http://resourcecenter.ieee-pes.org/files/2013/08/Modal_Ident_TF_Report.pdf.
    43. 43)
    44. 44)
      • [44]. Kamwa, I., Samantaray, S.R., Joos, G.: ‘Optimal integration of disparate C37.118 PMUs in wide-area PSS with electromagnetic transients’, IEEE Trans. Power Syst., 2013, 26, (3), pp. 323333.
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