The wide-area situational awareness (SA) aims at an early detection of impending system instability and to alert system operator to take necessary actions. Since a critical situation may be triggered in a system because of various reasons, a wide-area monitoring system needs to consider several practical factors while deploying phasor measurement units (PMUs) in the grid. This study proposes a systematic framework for analysing the suitability of limited candidate PMU locations with respect to multiple applications, which, in turn, would enhance the SA of the system operator. Five factors are chosen for assessing the potential of a PMU site viz., improving state estimation, assessing voltage, angular stability, monitoring tie-line oscillations and the availability of communication infrastructure. To quantify the contribution of each application in enhancing the SA, five respective factors are proposed. These five factors are finally integrated in the proposed framework using fuzzy technique for order of preference by similarity to ideal solution. The scope of this work, however, is not limited only to these five factors. PMU locations can be evaluated for any number of practical criteria. The proposed scheme is demonstrated on IEEE 14-bus system and Northern Regional Power Grid 246-bus Indian system. The proposed methodology enhances the SA by ranking and recognising the potential PMU locations, and placing them in a phased manner.

References

1. 1)
  - 25. Northern regional load dispatch center. Available at http://nrldc.org, accessed December 2013.
2. 2)
  - 9. Aminifar, F., Fotuhi-Firuzabad, M., Shahidehpour, M., Khodaei, A.: ‘Probabilistic multistage PMU placement in electric power systems’, IEEE Trans. Power Deliv., 2011, 26, (2), pp. 841–849 (doi: 10.1109/TPWRD.2010.2090907).
3. 3)
  - 22. Song, S., Lee, H.C., Yoon, Y.T., Moon, S.I.: ‘Cluster design compatible with market for effective reactive power management’. IEEE Power Engineering Society General Meeting, 2006, pp. 1–7.
4. 4)
  - 21. Li, Q., Cui, T., Weng, Y., Negi, R., Franchetti, F., Ilic, M.: ‘An information-theoretic approach to PMU placement in electric power systems’, IEEE Trans. Smart Grid, 2013, 4, (1), pp. 446–456 (doi: 10.1109/TSG.2012.2228242).
5. 5)
  - F. Aminifar , C. Lucas , A. Khodaei , M. F-Firuzabad . Optimal placement of phasor measurement units using immunity genetic algorithm. IEEE Trans. Power Deliv. , 3 , 1014 - 1020
6. 6)
  - 15. Georges, D.: ‘Optimal design of a PMU-based monitoring architecture for power systems’, IFAC Proc., 2012, 8, (PART 1), pp. 478–483.
7. 7)
  - 23. Kahraman, C.: ‘Fuzzy multi-criteria decision making: theory and applications with recent developments’ (Springer, 2008).
8. 8)
  - 18. Zhu, K., Nordstrom, L.: ‘Design of wide-area damping systems based on the capabilities of the supporting information communication technology infrastructure’, IET Gener. Transm. Distrib., 2014, 8, (4), pp. 640–650 (doi: 10.1049/iet-gtd.2013.0147).
9. 9)
  - 19. Sodhi, R., Srivastava, S., Singh, S.: ‘Multi-criteria decision-making approach for multistage optimal placement of phasor measurement units’, IET Gener. Transm. Distrib., 2011, 5, (2), pp. 181–190 (doi: 10.1049/iet-gtd.2009.0709).
10. 10)
  - L.A. Zadeh . The concept of a linguistic variable and its application to approximate reasoning-I. Inform. Sci. , 199 - 249
11. 11)
  - T.L. Baldwin , L. Mili , M.B. Boisen , R. Adapa . Power system observability with minimal phasor measurement placement. IEEE Trans. Power Syst. , 2 , 707 - 715
12. 12)
  - 5. Xu, B., Abur, A.: ‘Observability analysis and measurement placement for systems with PMUs’. IEEE PES Power Systems Conf. and Exposition, October 2004, vol. 2, pp. 943–946.
13. 13)
  - 20. Linda, O., Manic, M., Giani, A., McQueen, M.: ‘Multi-criteria based staging of optimal PMU placement using fuzzy weighted average’. IEEE Int. Symp. Industrial Electronics (ISIE), 2013, May 2013, pp. 1–8.
14. 14)
  - 16. Fesharaki, F., Hooshmand, R.-A., Khodabakhshian, A.: ‘Simultaneous optimal design of measurement and communication infrastructures in hierarchical structured WAMS’, IEEE Trans. Smart Grid, 2014, 5, (1), pp. 312–319 (doi: 10.1109/TSG.2013.2260185).
15. 15)
  - 12. Western interconnection synchrophasor program. Available at https://www.smartgrid.gov/project/western electricity coordinating council western interconnection synchrophasor program, accessed June 2014.
16. 16)
  - 4. Wen, M., Xu, J., Li, V.: ‘Optimal multistage PMU placement for wide-area monitoring’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 4134–4143 (doi: 10.1109/TPWRS.2013.2277741).
17. 17)
  - 7. Gopakumar, P., Chandra, G., Reddy, M., Mohanta, D.: ‘Optimal redundant placement of PMUs in Indian power grid Northern, Eastern and North-Eastern regions’, Front. Energy, 2013, 7, (4), pp. 413–428 (doi: 10.1007/s11708-013-0274-6).
18. 18)
  - 14. Huang, J., Wu, N., Ruschmann, M.: ‘Data-availability-constrained placement of PMUs and communication links in a power system’, IEEE Syst. J., 2014, 8, (2), pp. 483–492 (doi: 10.1109/JSYST.2013.2260696).
19. 19)
  - S. Chakrabarti , E. Kyriakides , D.G. Eliades . Placement of synchronized measurements for power system observability. IEEE Trans. Power Deliv. , 1 , 12 - 19
20. 20)
  - B. Milosevic , M. Begovic . Nondominated sorting genetic algorithm for optimal phasor measurement placement. IEEE Trans. Power Syst. , 1 , 69 - 75
21. 21)
  - 11. Gupta, N., Goyal, M., Tripathy, P.: ‘A novel approach for optimal placement of PMUs with minimum measurement channels’. IEEE Int. Conf. Power and Energy (PECon), December 2012, pp. 505–509.
22. 22)
  - S. Chakrabarti , E. Kyriakides . Optimal placement of phasor measurement units for power system observability. IEEE Trans. Power Syst. , 3 , 1433 - 1440
23. 23)
  - 13. Synchrophasors initiative in India. Available at http://posoco.in/, accessed December 2013.
24. 24)
  - 6. Gopakumar, P., Chandra, G., Reddy, M., Mohanta, D.: ‘Optimal placement of PMUs for the smart grid implementation in Indian power grid – a case study’, Front. Energy, 2013, 7, (3), pp. 358–372 (doi: 10.1007/s11708-013-0257-7).
25. 25)
  - A. Bose . Smart transmission grid applications and their supporting infrastructure. IEEE Trans. Smart Grid , 1 , 11 - 19

Phasor measurement unit placement framework for enhanced wide-area situational awareness

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