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In the composite load model (CLM), which is commonly used in China, an equivalent motor and equivalent static load are used to represent all electrical equipment and networks connected to a load bus. Existing research has determined typical values of electrical and mechanical parameters for load models of different load types, which improves the basis for load modeling. However, the motor proportion parameter is not the same for different load buses or at different times; therefore, obtaining the actual motor proportion is key to establishing an accurate load model. In the existing load modeling method, motor proportion is commonly identified along with other parameters under rare large disturbances; therefore, the value of the motor proportion is fixed by the time when a large disturbance occurs. In this paper, formulae are derived to estimate motor proportion under small disturbances, and these formulae allow direct calculation of motor proportion without using any optimization algorithm. The proposed estimation formulae do not rely on any parameters of load model or power system but instead rely only on measurement of the voltage and active power at steady-state points before and after a small disturbance. Because of universality of small disturbances in power systems, estimating time-varying motor proportion under small disturbances will be helpful for solving the time-varying problem of load models. Finally, the proposed motor proportion estimation formulae are validated by simulations, physical experiments, and field experiments.
IEEE, “Load representation for dynamic performance analysis (of power systems),” IEEE Transactions on Power Systems, vol. 8, no. 2, pp. 472–482, May 1993, doi: 10.1109/59.260837.
W. W. Price, C. W. Taylor, and G. J. Rogers, “Standard load models for power flow and dynamic performance simulation,” IEEE Transactions on Power Systems, vol. 10, no. 3, pp. 1302–1313, Aug. 1995, doi: 10.1109/59.466523.
Q. Wu, Y. Lin, C. Hong, Y. Su, T. Wen, and Y. Liu, “Transient stability analysis of large-scale power systems: a survey,” CSEE Journal of Power and Energy Systems, vol. 9, no. 4, pp. 1284–1300, Jul. 2023, doi: 10.17775/CSEEJPES.2022.07110.
A. Arif, Z. Y. Wang, J. H. Wang, B. Mather, H. Bashualdo, and D. B. Zhao, “Load modeling—a review,” IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5986–5999, Nov. 2018, doi: 10.1109/TSG.2017.2700436.
J. V. Milanović, K. Yamashita, S. Martínez Villanueva, S. Ž. Djokić, and L. M. Korunović, “International industry practice on power system load modeling,” IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3038–3046, Aug. 2013, doi: 10.1109/TPWRS.2012.2231969.
Q. Chen, P. Ju, K. Q. Shi, Y. Tang, Z. Y. Shao, and W. Y. Yang, “Parameter estimation and comparison of the load models with considering distribution network directly or indirectly,” International Journal of Electrical Power & Energy Systems, vol. 32, no. 9, pp. 965–968, Nov. 2010, doi: 10.1016/j.ijepes.2010.02.009.
P. Ju, Y. Q. Jin, Q. Chen, Z. Y. Shao, and C. Mao, “Identifiability and identification of a synthesis load model,” Science China Technological Sciences, vol. 53, no. 2, pp. 461–468, Feb. 2010, doi: 10.1007/s11431–009–0404-x.
W. S. Kao, C. J. Lin, C. T. Huang, Y. T. Chen, and C. Y. Chiou, “Comparison of simulated power system dynamics applying various load models with actual recorded data,” IEEE Transactions on Power Systems, vol. 9, no. 1, pp. 248–254, Feb. 1994, doi: 10.1109/59.317604.
D. N. Kosterev, C. W. Taylor, and W. A. Mittelstadt, “Model validation for the august 10, 1996 WSCC system outage,” IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 967–979, Aug. 1999, doi: 10.1109/59.780909.
J. K. Kim, J. Ma, K. Sun, J. Lee, J. Shin, Y. Kim, and K. Hur, “A computationally efficient method for bounding impacts of multiple uncertain parameters in dynamic load models,” IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 897–907, Mar. 2019, doi: 10.1109/TPWRS.2018.2879102.
L. M. Korunović, J. V. Milanović, S. Z. Djokic, K. Yamashita, S. M. Villanueva, and S. Sterpu, “Recommended parameter values and ranges of most frequently used static load models,” IEEE Transactions on Power Systems, vol. 33, no. 6, pp. 5923–5934, Nov. 2018, doi: 10.1109/TPWRS.2018.2834725.
B. K. Choi, H. D. Chiang, Y. H. Li, H. Li, Y. T. Chen, D. H. Huang, and M. G. Lauby, “Measurement-based dynamic load models: derivation, comparison, and validation,” IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1276–1283, Aug. 2006, doi: 10.1109/TPWRS.2006.876700.
J. Ma, D. Han, R. M. He, Z. Y. Dong, and D. J. Hill, “Reducing identified parameters of measurement-based composite load model,” IEEE Transactions on Power Systems, vol. 23, no. 1, pp. 76–83, Feb. 2008, doi: 10.1109/TPWRS.2007.913206.
D. Han, J. Ma, R. M. He, and Z. Y. Dong, “A real application of measurement-based load modeling in large-scale power grids and its validation,” IEEE Transactions on Power Systems, vol. 24, no. 4, pp. 1756–1764, Nov. 2009, doi: 10.1109/TPWRS.2009.2030298.
P. Ju, C. Qin, F. Wu, H. L. Xie, and Y. Ning, “Load modeling for wide area power system,” International Journal of Electrical Power & Energy Systems, vol. 33, no. 4, pp. 909–917, May 2011, doi: 10.1016/j.ijepes.2010.12.030.
P. Ju, F. Wu, Z. Y. Shao, X. P. Zhang, H. J. Fu, P. F. Zhang, N. Q. He, and J. D. Han, “Composite load models based on field measurements and their applications in dynamic analysis,” IET Generation, Transmission & Distribution, vol. 1, no. 5, pp. 724–730, Sep. 2007, doi: 10.1049/iet-gtd:20060430.
V. Vignesh, S. Chakrabarti, and S. C. Srivastava, “Power system load modelling under large and small disturbances using phasor measurement units data,” IET Generation, Transmission & Distribution, vol. 9, no. 12, Sep. 2015, pp. 1316–1323.
Z. Y. Guo, Z. J. Wang, and A. Kashani, “Home appliance load modeling from aggregated smart meter data,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 254–262, Jan. 2015, doi: 10.1109/TPWRS.2014.2327041.
Y. Wang, Q. X. Chen, T. Hong, and C. Q. Kang, “Review of smart meter data analytics: applications, methodologies, and challenges,” IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 3125–3148, May 2019, doi: 10.1109/TSG.2018.2818167.
S. Makonin, F. Popowich, I. V. Bajić, B. Gill, and L. Bartram, “Exploiting HMM sparsity to perform online real-time nonintrusive load monitoring,” IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2575–2585, Nov. 2016, doi: 10.1109/TSG.2015.2494592.
Y. Zhou, S. Zhang, B. Ran, W. Yang, Y. Wang, and X. Xiao, “Event-based two-stage non-intrusive load monitoring method involving multi-dimensional features,” CSEE Journal of Power and Energy Systems, vol. 9, no. 3, pp. 1119–1128, May 2023, doi: 10.17775/CSEEJPES.2021.09540.
S. Singh and A. Majumdar, “Deep sparse coding for non-intrusive load monitoring,” IEEE Transactions on Smart Grid, vol. 9, no. 5, pp. 4669–4678, Sep. 2018, doi: 10.1109/TSG.2017.2666220.
R. Bonfigli, E. Principi, M. Fagiani, M. Severini, S. Squartini, and F. Piazza, “Non-intrusive load monitoring by using active and reactive power in additive Factorial Hidden Markov Models,” Applied Energy, vol. 208, pp. 1590–1607, Aug. 2017, doi: 10.1016/j.apenergy.2017.08.203.
P. Kundur, Power System Stability and Control. New York: McGraw-Hill, 1994.
Z. X. Ma, Z. Y. Wang, Y. S. Wang, R. S. Diao, and D. Shi, “Mathematical representation of WECC composite load model,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 1015–1023, Sep. 2020, doi: 10.35833/MPCE.2019.000296.
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