Journal Publications

Load Modeling

Z. Ma, B. Cui, Z. Wang, and D. Zhao, "Parameter Reduction of Composite Load Model Using Active Subspace Method," IEEE Transactions on Power Systems, vol. 36, no. 6, pp. 5441-5452, November 2021. [PDF]

J. Xie, Z. Ma, K. Dehghanpour, Z. Wang, Y. Wang, R. Diao, and D. Shi, "Imitation and Transfer Q-learning-Based Parameter Identification for Composite Load Modeling," IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1674-1684, March 2021. [PDF]

F. Bu, Z. Ma, Y. Yuan, and Z. Wang, "WECC Composite Load Model Parameter Identification Using Evolutionary Deep Reinforcement Learning, " IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5407-5417, November 2020. [PDF]

Z. Ma, Z. Wang, D. Zhao, and B. Cui, "High-fidelity large-signal order reduction approach for composite load model," IET Generation, Transmission & Distribution, vol. 14, no. 21, pp. 4888-4897, November 2020.[PDF]

Z. Ma, Z. Wang, Y. Wang, D. Zhao, 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, September 2020. [PDF]

C. Wang, Z. Wang, J. Wang, and D. Zhao, "SVM-Based Parameter Identification for Composite ZIP and Electronic Load Modeling," IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 182-193, January 2019. [PDF]

C. Wang, Z. Wang, J. Wang, and D. Zhao, "Robust Time-Varying Parameter Identification for Composite Load Modeling," IEEE Transactions on Smart Grid, vol. 10, no. 1, pp. 967-979, January 2019. [PDF]

A. Arif, Z. Wang, J. Wang, B. Mather, H. Bashualdo, and D. Zhao, "Load Modeling - A Review," IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 5986-5999, November 2018. [PDF]

J. Zhao, Z. Wang, and J. Wang, "Robust Time-Varying Load Modeling for Conservation Voltage Reduction Assessment," IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 3304-3312, July 2018. [PDF]

Z. Wang and J. Wang, "Time-Varying Stochastic Assessment of Conservation Voltage Reduction Based on Load Modeling," IEEE Transactions on Power Systems, vol. 29, no. 5, pp. 2321-2328, September 2014. [PDF]

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