access icon free Phasor measurement unit based wide-area monitoring and information sharing between micro-grids

Micro-grid (MG) monitoring and information sharing between them through a central monitoring unit is required in the present day operational environment. The proposed research focuses on developing wide-area monitoring platform for multiple MGs running in parallel. This is achieved by using C37.118.1 complied phasor measurements units (PMUs) which provides accurate and reliable information monitoring at remote ends of the MGs and are further connected to the Phasor Data Concentrator which acts as the central monitoring unit. This process not only retrieves information at different nodes of the MGs equipped with PMUs, but the information can be exchanged between MGs for further action if required during contingencies. The PMUs are used to monitor phasors (amplitude and phases) and frequency of fundamentals which are further used to compute wide-area functions at different operating nodes of the MGs at grid connected and islanded modes of operation including different operating conditions. The proposed PMU and MG models are developed on MATLAB/SIMULINK platform. Extensive test results indicate that the proposed monitoring process is highly essential to retrieve the operational status of the multiple MGs observed at the central monitoring unit.

Inspec keywords: phasor measurement; power system interconnection; distributed power generation

Other keywords: central monitoring unit; wide area monitoring; islanded modes; MATLAB/SIMULINK platform; information sharing; phasor data concentrator; microgrid monitoring; PMU; grid connected; phasor measurements unit

Subjects: Distributed power generation; Power system management, operation and economics; Power system measurement and metering

References

    1. 1)
      • 15. Sidhu, T.S., Zadeh, M.R.D., Pooranalingam, P.J., et al: ‘An iterative technique for real-time tracking of power system harmonics’, J. Elect. Eng. Technol., 2011, 6, (3), pp. 319327.
    2. 2)
      • 12. Sabarimalai Manikandan, M., Samantaray, S.R., Kamwa, I.: ‘Detection and classification of power quality disturbances using sparse signal decomposition on hybrid dictionaries’, IEEE Trans. Instrum. Meas., 2015, 64, (1), pp. 2738.
    3. 3)
      • 10. El-Arroudi, K., Joós, G., Kamwa, I., et al: ‘Intelligent-based approach to islanding detection in distributed generation’, IEEE Trans. Power Deliv., 2007, 22, (2), pp. 828835.
    4. 4)
      • 7. Kamwa, I., Grondin, R., McNabb, D.: ‘Changing harmonics in stressed power transmission systems – application to Hydro-Quebec's network’, IEEE Trans. Power Deliv., 1996, 11, (4), pp. 20202027.
    5. 5)
      • 5. Gallo, D., Langella, R., Testa, A.: ‘Desynchronized processing technique for harmonic and interharmonic analysis’, IEEE Trans. Power Deliv., 2004, 19, (3), pp. 9931001.
    6. 6)
      • 18. Kamwa, I., Leclerc, M., McNabb, D.: ‘Performance of demodulation-based frequency measurement algorithms used in typical PMUs’, IEEE Trans. Power Deliv., 2004, 19, (2), pp. 505514.
    7. 7)
      • 3. Barsali, S., Ceraolo, M., Pelacchi, P., et al: ‘Control techniques of dispersed generators to improve the continuity of electricity supply’, Proc. Power Eng. Soc. Winter Meet., 2002, 2, pp. 789794.
    8. 8)
      • 14. Kamwa, I., Beland, J., Trudel, G., et al: ‘Wide-area monitoring and control at Hydro-Quebec: past, present and future, presented at the panel session on new applications of PMU in power systems’. IEEE Power Engineering Society General Meeting, 2006, Montreal, QC, pp. 112.
    9. 9)
      • 1. Stadler, M., Siddiqui, A., Marnay, C., et al: ‘Control of greenhouse gas emissions by optimal DER technology investment and energy management in zero-net-energy buildings’, Eur. Trans. Electr. Power, 2009, 2, (2), pp. 12911309.
    10. 10)
      • 16. Kamwa, I., Pradhan, A.K., Joos, G.: ‘Adaptive phasor and frequency-tracking schemes for wide-area protection and control’, IEEE Trans. Power Deliv., 2011, 26, (2), pp. 744753.
    11. 11)
      • 9. Chakir, M., Kamwa, I., Le Huy, H.: ‘Extended C37. 118.1 PMU algorithms for joint tracking of fundamental and harmonic phasors in stressed power systems and micro-grids’, IEEE Trans. Power Deliv., 2014, 29, (3), pp. 14651480.
    12. 12)
      • 8. Kamwa, I., Samantaray, S., Joos, G.: ‘Compliance analysis of PMU algorithms and devices for wide-area stabilizing control of large power systems’, IEEE Trans. Power Syst., 2013, 28, (2), pp. 17661778.
    13. 13)
      • 17. Kamwa, I., Samantaray, S.R., Joos, G.: ‘Wide frequency range adaptive phasor and frequency PMU algorithms’, IEEE Trans. Smart Grid, 2014, 5, (2), pp. 569579.
    14. 14)
      • 11. Samantaray, S.R., El-Arroudi, K., Joós, G., et al: ‘A fuzzy rule-based approach for islanding detection in distributed generation’, IEEE Trans. Power Deliv., 2010, 25, (3), pp. 14271433.
    15. 15)
      • 6. Carta, A., Locci, N., Muscas, C.: ‘GPS-based system for the measurement of synchronized harmonic phasors’, IEEE Trans. Instrum. Meas., 2009, 58, (3), pp. 586593.
    16. 16)
      • 2. Venkataramanan, G., Marnay, C.: ‘A larger role for micro-grids’, Power Energy Mag., 2008, 6, (3), pp. 7882.
    17. 17)
      • 13. Zelingher, S., Fardanesh, B., Uzunovic, E., et al: ‘Harmonic monitoring system via GPS-synchronized measurements-update and new developments’. IEEE Power Engineering Society General Meeting, 2006.
    18. 18)
      • 4. Carta, A., Locci, N., Muscas, C.: ‘A PMU for the measurement of synchronized harmonic phasors in three-phase distribution networks’, IEEE Trans. Instrum. Meas., 2009, 58, (10), pp. 37233730.
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