Two-step method for the online parameter identification of a new simplified composite load model

Songtai Yu; Shuqing Zhang; Xinran Zhang

Two-step method for the online parameter identification of a new simplified composite load model

View Fulltext

Author(s): Songtai Yu ¹ ; Shuqing Zhang ¹ ; Xinran Zhang ¹
- Affiliations: 1: Department of Electrical Engineering, Tsinghua University, Beijing, People's Republic of China
Source: Volume 10, Issue 16, 08 December 2016, p. 4048 – 4056
DOI: 10.1049/iet-gtd.2016.0367 , Print ISSN 1751-8687, Online ISSN 1751-8695

Received 14/03/2016, Accepted 14/08/2016, Revised 24/07/2016, Published 08/12/2016

The electrical load is one of the most important parts of power systems. Parameter identification of load model is critical for power system stability analysis. The composite load model, which comprises a static load and a dynamic load, is one of the most widely used models in power system simulation and control. As the load characteristics could change considerably over time, online parameter identification is needed. However, because of the non-linearity and complexity, online parameter identification for load models remains difficult to achieve, and there is rarely an effective solution. This study proposes a load model simplification and parameter identification method to solve this problem. First, the composite load model is preliminarily simplified by choosing the dominant parameters. Next, the load model is further simplified based on a second-ordered state equation of the induction motor. Subsequently, a two-step method for online parameter identification is presented. The first step is the electrical parameter identification based on the multi-layer searching method proposed in this study. The second step is the mechanical parameter identification via the Newton method. Finally, an example for a typical case system is presented to demonstrate the effectiveness, efficiency and accuracy of the two-step method.

References

1. 1)
  - 14. Zheng, J., Zhu, S.: ‘A fast real-time load modeling method based on strong tracking filter’, Autom. Electr. Power Syst., 2008, 32, (5), pp. 6–10.
2. 2)
  - 3. Borghetti, A., Caldon, R., Mari, A., et al: ‘On dynamic load models for voltage stability studies’, IEEE Trans. Power Syst., 12, (1), pp. 293–303 (doi: 10.1109/59.574950).
3. 3)
  - 26. He, R.-M., Ma, J., Hill, D.J.: ‘Composite load modeling via measurement approach’, IEEE Trans. Power Syst., 2006, 21, (2), pp. 663–672 (doi: 10.1109/TPWRS.2006.873130).
4. 4)
  - 20. Kim, J.W., Kim, T., Park, Y.: ‘On load motor parameter identification using univariate dynamic encoding algorithm for searches’, IEEE Trans. Energy Convers., 2008, 23, (3), pp. 804–813 (doi: 10.1109/TEC.2008.926068).
5. 5)
  - 19. Ying, C., Ju, P., Wu, F.: ‘PS algorithm in load parameter identification and its comparison with genetic algorithm’, Autom. Electr. Power Syst., 2003, 27, (11), pp. 25–29.
6. 6)
  - 15. Son, S.: ‘Improvement of composite load modeling based on parameter sensitivity and dependency analyses’, IEEE Trans. Power Syst., 2013, 29, (1), pp. 242–250 (doi: 10.1109/TPWRS.2013.2281455).
7. 7)
  - 8. Ge, Y., Flueck, A.J., Kim, D.K., et al: ‘An event-oriented method for online load modeling based on synchrophasor data’, IEEE Trans. Smart Grid, 2015, 6, (4), pp. 2060–2068 (doi: 10.1109/TSG.2015.2405920).
8. 8)
  - 3. Miranian, A., Rouzbehi, K.: ‘Nonlinear power system load identification using local model networks’, IEEE Trans. Power Syst., 2013, 28, (3), pp. 2872–2881 (doi: 10.1109/TPWRS.2012.2234142).
9. 9)
  - 18. Regulski, P., Vilchis-Rodriguez, D.S., Djurovic, S., et al: ‘Estimation of composite load model parameters using an improved particle swarm optimization method’, IEEE Trans. Power Syst., 2015, 30, (2), pp. 553–560 (doi: 10.1109/TPWRD.2014.2301219).
10. 10)
  - 4. Pal, M.K.: ‘Voltage stability conditions considering load characteristics’, IEEE Trans. Power Syst., 1992, 7, (1), pp. 243–249 (doi: 10.1109/59.141710).
11. 11)
  - 25. IEEE Task Force on Load Representation for Dynamic Performance: ‘Standard load models for power flow and dynamic performance simulation’, IEEE Trans. Power Syst., 1995, 10, (3), pp. 1302–1313 (doi: 10.1109/59.466523).
12. 12)
  - 9. Kao, W.S., Lin, C.J., Huang, C.T.: ‘Comparison of simulated power system dynamics applying various load models actual recorded data’, IEEE Trans. Power Syst., 1994, 9, (1), pp. 248–254 (doi: 10.1109/59.317604).
13. 13)
  - 2. Vournas, C.D., Krassas, N.D.: ‘Voltage stability as affected by static load characteristics’, IET Proc. Gener. Transm. Distrib., 1993, 140, (3), pp. 221–228 (doi: 10.1049/ip-c.1993.0033).
14. 14)
  - 22. Bai, H., Zhang, P.: ‘A novel parameter identification approach via hybrid learning for aggregate load modeling’, IEEE Trans. Power Syst., 2009, 24, (3), pp. 1145–1154 (doi: 10.1109/TPWRS.2009.2022984).
15. 15)
  - 25. Kim, J.-K., An, K., Ma, J.: ‘Fast and reliable estimation of composite load model parameters using analytical similarity of parameter sensitivity’, IEEE Trans. Power Syst., 2015, 31, (1), pp. 663–671 (doi: 10.1109/TPWRS.2015.2409116).
16. 16)
  - 26. Ma, J., Han, D., He, R.-M., et al: ‘Reducing identified parameters of measurement-based composite load model’, IEEE Trans. Power Syst., 2008, 23, (1), pp. 76–83 (doi: 10.1109/TPWRS.2007.913206).
17. 17)
  - 16. Zhang, H., He, R., Liu, Y.: ‘Analysis on parameter analytic sensitivity of induction motor load model and parameter identification strategy’, Power Syst. Technol., 2006, 30, (9), pp. 28–34.
18. 18)
  - 5. Zhang, J.F., Tse, C.T., Wang, K.W., et al: ‘Voltage stability analysis considering the uncertainties of dynamic load parameters’, IET Gener. Transm. Distrib. , 2009, 10, (3), pp. 941–948 (doi: 10.1049/iet-gtd.2009.0089).
19. 19)
  - 26. Li, L.: ‘Identification of dominant parameters and transient voltage stability assessment and monitoring of composite load’. PhD thesis, Department of Electrical Engineering, Tsinghua University, 2009.
20. 20)
  - 11. China Electric Power Research Institute: ‘BPA trasient stability program manual of Chinese version’ (China Electric Power Press, 2008), pp. 1–107.
21. 21)
  - 23. Ma, J., He, R., Hill, D.J.: ‘Load modeling by finding support vectors of load data from field measurements’, IEEE Trans. Power Syst., 2006, 21, (2), pp. 726–735.
22. 22)
  - 12. CEPRI: ‘PSASP V6.0 application manual’ (China Electric Power Press, 2010), pp. 1–14.
23. 23)
  - 16. Price, W., Wirgau, K., Murdoch, A., et al: ‘Load modeling for power flow and transient stability computer studies’, IEEE Trans. Power Syst., 1988, 3, (1), pp. 180–187 (doi: 10.1109/59.43196).
24. 24)
  - 1. Wiszniewski, A.: ‘New criteria of voltage stability margin for the purpose of load shedding’, IEEE Trans. Power Deliv., 2007, 22, (3), pp. 1367–1371 (doi: 10.1109/TPWRD.2006.886772).
25. 25)
  - 6. Li, L.L., Xie, X.R., Yan, J.F., et al: ‘Fast online identification of the dominant parameters of composite load model using Volterra model and pattern classification’. Power Engineering Society General Meeting, Tampa, Florida, July 2007, pp. 1–8.
26. 26)
  - 24. Visconti, I.F., Lima, D.A., de Sousa Costa, J.M.C., et al: ‘Measurement-based load modeling using transfer functions for dynamic simulations’, IEEE Trans. Power Syst., 2014, 29, (1), pp. 111–120 (doi: 10.1109/TPWRS.2013.2279759).

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Two-step method for the online parameter identification of a new simplified composite load model

References

Related content