Open Access
Issue
E3S Web Conf.
Volume 186, 2020
2020 The 3rd International Conference on Electrical Engineering and Green Energy (CEEGE 2020)
Article Number 02004
Number of page(s) 8
Section Smart Grid Control and Optimization
DOI https://doi.org/10.1051/e3sconf/202018602004
Published online 24 August 2020
  1. I. Colak, “Introduction to smart grid, ” 2016 International Smart Grid Workshop and Certificate Program (ISGWCP), Istanbul, 2016, pp. 1-5. [Google Scholar]
  2. Collier, Steven E. “Ten steps to a smarter grid.” IEEE Industry Applications Magazine 16, no. 2 (2010): 62-68. [CrossRef] [Google Scholar]
  3. Vineetha, C. P., and C. A. Babu. “Smart grid challenges, issues and solutions.” In 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1-4. IEEE, 2014. [Google Scholar]
  4. Rohjans, Sebastian, Mathias Uslar, Robert Bleiker, José González, Michael Specht, Thomas Suding, and Tobias Weidelt. “Survey of smart grid standardization studies and recommendations.” In 2010 First IEEE International Conference on Smart Grid Communications, pp. 583-588. IEEE, 2010. [CrossRef] [Google Scholar]
  5. Andrén, Filip, Matthias Stifter, and Thomas Strasser. “Towards a semantic driven framework for smart grid applications: Model-driven development using CIM, IEC 61850 and IEC 61499.” InformatikSpektrum 36.1 (2013): 58-68. [Google Scholar]
  6. Wiseman, John, Taegen Edwards, and Kate Luckins. “Pathways to a sustainable and resilient urban future.” In Resilient Sustainable Cities, Vol. 31, no. 43, pp. 31-43. ROUTLEDGE in association with GSE Research, 2014. [Google Scholar]
  7. Hao-Tian Zhang and Loi-Lei Lai, “Monitoring system for smart grid, ” 2012 International Conference on Machine Learning and Cybernetics, Xian, 2012, pp. 1030-1037. [CrossRef] [Google Scholar]
  8. Koutitas, G. (2012). Control of flexible smart devices in the smart grid. IEEE Transactions on Smart Grid, 3 (3), 1333-1343. [Google Scholar]
  9. Morello, R., De Capua, C., Fulco, G., & Mukhopadhyay, S. C. (2017). A smart power meter to monitor energy flow in smart grids: The role of advanced sensing and IoT in the electric grid of the future. IEEE Sensors Journal, 17 (23), 7828-7837. [Google Scholar]
  10. Nagesh, D. R., Krishna, J. V., & Tulasiram, S. S. (2010, January). A real-time architecture for smart energy management. In 2010 Innovative Smart Grid Technologies (ISGT) (pp. 1-4). IEEE. [Google Scholar]
  11. Rietveld, G., Braun, J. P., Martin, R., Wright, P., Heins, W., Ell, N., ... & Zisky, N. (2015). Measurement infrastructure to support the reliable operation of smart electrical grids. IEEE Transactions on Instrumentation and Measurement, 64 (6), 1355-1363. [3, 9250] [Google Scholar]
  12. Martin, K. E., Benmouyal, G., Adamiak, M. G., Begovic, M., Burnett, R. O., Carr, K. R., ... & Michel, G. L. (1998). IEEE standard for synchrophasors for power systems. IEEE Transactions on Power Delivery, 13 (1), 73-77. [CrossRef] [Google Scholar]
  13. Alimardani, A., Therrien, F., Atanackovic, D., Jatskevich, J., & Vaahedi, E. (2015). Distribution system state estimation based on nonsynchronized smart meters. IEEE Transactions on Smart Grid, 6 (6), 2919-2928. [Google Scholar]
  14. Jia, Z., Chen, J., & Liao, Y. (2013, April). State estimation in distribution system considering effects of AMI data. In 2013 Proceedings of IEEE Southeastcon (pp. 1-6). IEEE. [Google Scholar]
  15. Ullah, R., Faheem, Y., & Kim, B. S. (2017). Energy and congestion-aware routing metric for smart grid AMI networks in smart city. IEEE access, 5, 13799-13810. [Google Scholar]
  16. Morello, R., Mukhopadhyay, S. C., Liu, Z., Slomovitz, D., & Samantaray, S. R. (2017). Advances on sensing technologies for smart cities and power grids: A review. IEEE Sensors Journal, 17 (23), 7596-7610. [Google Scholar]
  17. Kamwa, I., Samantaray, S. R., & Joos, G. (2013). Optimal integration of disparate C37. 118 PMUs in wide-area PSS with electromagnetic transients. IEEE transactions on power systems, 28 (4), 4760-4770. [Google Scholar]
  18. F. Steinhauser and Y. Ping, “Testing the dynamic response of phasor measurement units, ” in Proc. Int. Conf. Electr. Eng., 2009, pp. 1–5. [Online]. Available: http://www.iceecon.org/papers/2009/pdf/2.02_I9CP0546_E.Pdf [Google Scholar]
  19. Das, S., & Sidhu, T. (2013). A simple synchrophasor estimation algorithm considering IEEE standard C37. 118.1-2011 and protection requirements. IEEE Transactions on Instrumentation and Measurement, 62 (10), 2704-2715. [Google Scholar]
  20. I. Kamwa, A. K. Pradhan, and G. Joos, “Adaptive phasor and frequency-tracking schemes for widearea protection and control, ” IEEE Trans. Power Del., Vol. 26, no. 2, pp. 744–753, Apr. 2011. [CrossRef] [Google Scholar]
  21. R. K. Mai, L. Fu, Z. Y. Dong, B. Kirby, and Z. Q. Bo, “An adaptive dynamic phasor estimator considering DC offset for PMU applications, ” IEEE Trans. Power Del., Vol. 26, no. 3, pp. 1744–1754. [CrossRef] [Google Scholar]
  22. I. Kamwa, S. R. Samantaray, and G. Joos, “Compliance analysis of PMU algorithms and devices for wide-area stabilizing control of large power systems, ” IEEE Trans. Power Syst., Vol. 28, no. 2, pp. 1766–1778, May 2013 [Google Scholar]
  23. Xie, X., Xin, Y., Xiao, J., Wu, J., & Han, Y. (2006). WAMS applications in Chinese power systems. IEEE Power and Energy Magazine, 4 (1), 54-63. [CrossRef] [Google Scholar]
  24. Zhang, Y., Markham, P., Xia, T., Chen, L., Ye, Y., Wu, Z., ... & Conners, R. W. (2010). Wide-area frequency monitoring network (FNET) architecture and applications. IEEE Transactions on smart grid, 1 (2), 159-167. [Google Scholar]
  25. De La Ree, J., Centeno, V., Thorp, J. S., & Phadke, A. G. (2010). Synchronized phasor measurement applications in power systems. IEEE Transactions on smart grid, 1 (1), 20-27. [Google Scholar]
  26. Venkatasubramanian, V., Yue, X., Liu, G., Sherwood, M., & Zhang, Q. (2009, March). Widearea monitoring and control algorithms for large power systems using synchrophasors. In 2009 IEEE/PES Power Systems Conference and Exposition (pp. 1-5). IEEE. [Google Scholar]
  27. Glavic, M., & Van Cutsem, T. (2008, July). Detecting with PMUs the onset of voltage instability caused by a large disturbance. In 2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century (pp. 1-8). IEEE. [Google Scholar]
  28. Liu, G., Quintero, J., & Venkatasubramanian, V. M. (2007, August). Oscillation monitoring system based on wide area synchrophasors in power systems. In 2007 iREP symposium-bulk power system dynamics and control-VII. Revitalizing Operational Reliability (pp. 1-13). IEEE. [Google Scholar]
  29. Liu, X., Liu, G., Sherwood, M., & Venkatasubramanian, V. (2010, August). Wide-area monitoring and control algorithms for large power systems using synchrophasors. In 2010 IREP Symposium Bulk Power System Dynamics and Control-VIII (IREP) (pp. 1-5). IEEE. [Google Scholar]
  30. Sherwood, M., Hu, D., & Venkatasubramanian, V. M. (2007, August). Real-time detection of angle instability using synchrophasors and action principle. In 2007 iREP Symposium-Bulk Power System Dynamics and Control-VII. Revitalizing Operational Reliability (pp. 1-11). IEEE. [Google Scholar]
  31. Ghasemkhani, A., Monsef, H., Rahimi-Kian, A., & Anvari-Moghaddam, A. (2015). Optimal design of a wide area measurement system for improvement of power network monitoring using a dynamic multiobjective shortest path algorithm. IEEE Systems Journal, 11 (4), 2303-2314. [Google Scholar]
  32. Phadke, A. G., & Thorp, J. S. (2008). Synchronized phasor measurements and their applications (Vol. 1, p. 81). New York: Springer. [CrossRef] [Google Scholar]
  33. Shahraeini, M., Ghazizadeh, M. S., & Javidi, M. H. (2012). Co-optimal placement of measurement devices and their related communication infrastructure in wide area measurement systems. IEEE Transactions on Smart Grid, 3 (2), 684-691. [Google Scholar]
  34. Chakrabarti, S., & Kyriakides, E. (2007, August). Optimal placement of phasor measurement units for state estimation. In Proc. IASTED Int. Conf. Power Energy Syst. EuroPES, Palma de Mallorca, Spain (pp. 1-6). [Google Scholar]
  35. Nuqui, R. F. (2001). State estimation and voltage security monitoring using synchronized phasor measurements (Doctoral dissertation, Virginia Tech). [Google Scholar]

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