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Measurement-based load modeling: Theory and application

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Abstract

Load model is one of the most important elements in power system operation and control. However, owing to its complexity, load modeling is still an open and very difficult problem. Summarizing our work on measurement-based load modeling in China for more than twenty years, this paper systematically introduces the mathematical theory and applications regarding the load modeling. The flow chart and algorithms for measurement-based load modeling are presented. A composite load model structure with 13 parameters is also proposed. Analysis results based on the trajectory sensitivity theory indicate the importance of the load model parameters for the identification. Case studies show the accuracy of the presented measurement-based load model. The load model thus built has been validated by field measurements all over China. Future working directions on measurement-based load modeling are also discussed in the paper.

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References

  1. Kosterev D N, Taylor C W, Mittelstadt W A. Model validation for the August 10, 1996 WSCC system Outage. IEEE T Power Syst, 1999, 14(3): 967–979

    Article  Google Scholar 

  2. He R M. Research into veracity of power system dynamic simulation. Power Syst Tech (in Chinese), 2000, 24(12): 1–4

    Google Scholar 

  3. Li Y, He R M. Effects of the interaction between load and PSS on power system dynamic stability. Automation Electric Power Syst (in Chinese), 2004, 28(8): 40–44

    MathSciNet  Google Scholar 

  4. He R M, Han D, Yang L. Study on effect of load models on power system security. Power Syst Tech (in Chinese), 2007, 31(5): 1–6

    Google Scholar 

  5. Kundur P. Power System Stability and Control. New York: McGraw-Hill, Inc, 1993

    Google Scholar 

  6. IEEE Task Force on Load Representation for Dynamic Performance. Load Representation for Dynamic Performance Analysis. IEEE T Power Syst, 1993, 8(2): 472–482

  7. IEEE Task Force on Load Representation for Dynamic Performance. Bibliography on load models for power flow and dynamic performance simulation. IEEE T Power Syst, 1995, 10(1): 523–538

    Google Scholar 

  8. IEEE Task Force on Load Representation for Dynamic Performance. Standard load models for power flow and dynamic performance simulation. IEEE T Power Syst, 1995, 10(3): 1302–1313

    Google Scholar 

  9. Karlsson D, Hill D J. Modeling and identification of nonlinear dynamic loads in power systems. IEEE T Power Syst, 1994, 9(1): 157–166

    Article  Google Scholar 

  10. Wang J C, Jiang H D, Chang C L, et al. Development of a frequency-dependent composite load model using the measurement approach. IEEE T Power Syst, 1994, 9(3): 1546–1556

    Article  Google Scholar 

  11. Ju P, Chen Q, Xiong C P, et al. Load clustering and synthetic modeling based on daily load curves. Automat Electric Power Syst (in Chinese), 2006, 30(16): 6–9

    Google Scholar 

  12. Ju P, He X J, Huang W Y, et al. Model structures and parameter estimation of generalized load model. Automat Electric Power Syst (in Chinese), 2006, 30(23): 11–13

    Google Scholar 

  13. Shi J H, He R M. Measurement-based load modeling—sorting algorithm. Proc CSEE (in Chinese), 2004, 24(2): 78–82

    MathSciNet  Google Scholar 

  14. Shi J H, He R M. Load time-variations study in dynamic load modeling. Proc CSEE (in Chinese), 2004, 24(4): 85–90

    Google Scholar 

  15. He R M, Ma J, Hill J D. Composite load modeling via measurement approach. IEEE T Power Syst, 2006, 21(2): 663–672

    Article  Google Scholar 

  16. Ma J, He R M, Hill J D. Load modeling based on support vector techniques and fields measurements. IEEE T Power Syst, 2006, 21(2): 726–735

    Article  Google Scholar 

  17. Ma J, Zhou Y J, He R M. Research on generalization capability of load model. Proc CSEE (in Chinese), 2006, 26(21): 29–35

    Google Scholar 

  18. Ma J, Wang J G, He R M. Sensitivity analysis of power system dynamic simulation. Automat Electric Power Syst (in Chinese), 2005, 29(17): 20–27

    Google Scholar 

  19. Ma J, He R M, Wang J G, et al. Simplified identification strategy for composite load model parameters. Power Syst Tech (in Chinese), 2006, 30(9): 28–34

    Google Scholar 

  20. Hiskens I A, Pai M A. Trajectory sensitivity analysis of hybrid systems. IEEE T Circuits-I, 2000, 47(2): 204–220

    Article  Google Scholar 

  21. Hiskens I A. Nonlinear dynamic model evaluation from disturbance measurements. IEEE T Power Syst, 2001, 16(4): 702–710

    Article  Google Scholar 

  22. Branicky M S, Borkar V S, Mitter S K. A unified framework for hybrid control: Model and optimal control theory. IEEE T Automat Control, 1998, 43(1): 31–45

    Article  MATH  MathSciNet  Google Scholar 

  23. Wong K P, Dong Z Y. Differential Evolution, an Alternative Approach to Evolutionary Algorithm. invited book chapter. In: Lee K Y, El-Sharkawi M, eds. Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems. New York: Wiley, 2006

    Google Scholar 

  24. Ju P, Xie H L, Chen Q. Research tendencies of electric load modeling. Automat Electric Power Syst (in Chinese), 2007, 31(2): 1–4

    Google Scholar 

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Authors and Affiliations

  1. Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control of Ministry of Education, North China Electric Power University, Beijing, 102206, China

    Ma Jin, Han Dong & He RenMu

Authors
  1. Ma Jin
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  2. Han Dong
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  3. He RenMu
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Corresponding author

Correspondence to Ma Jin.

Additional information

Recommended by Prof. LU Qiang, Member of Editorial Committee of Science in China, Series E: Technological Sciences

Supported in part by the Chinese National Key Basic Research Special Fund (Grant No. 2004CB217901), the National Science Foundation of China (Grant No. 50595410) and by the Program for Changjiang Scholars and Innovative Research Team in University under IRT0515

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Jin, M., Dong, H. & He, R. Measurement-based load modeling: Theory and application. SCI CHINA SER E 50, 606–617 (2007). https://doi.org/10.1007/s11431-007-0069-2

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  • DOI: https://doi.org/10.1007/s11431-007-0069-2

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