Measurement-based dynamic load modelling using time-domain simulation and parallel-evolutionary search

R. Zhang, Y. Xu, Z.Y. Dong, Kitpo Wong

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)


    © 2016 The Institution of Engineering and Technology.Conventional approaches for measurement-based load modelling uses measured voltage (V) as the input to calculate the load model output - P and Q powers. This assumes that the P and Q response is a function of V. In fact, there is an inherent interaction among the three variables (P, Q, and V) especially when motor load occupies a large proportion. With increased penetration of wind power, the fault-induced dynamic voltage response is becoming a serious concern given the low-voltage-ride-through (LVRT) requirement of wind turbines. This paper firstly shows that given different load model parameters, the V responses can vary significantly. Then, an improved method is proposed for more accurate measurement-based load modelling. The proposed method incorporates the V response into the load model output, therefore is able to accurately reflect the dynamic voltage trajectories. Given the load model parameters, the system responses of P, Q, and V are all simulated via time-domain simulations using industry-grade software, and problem is to search the load model parameters to minimise the fitting error between the simulated and measured system responses. A trajectory sensitivity index is used to identify the well-conditioned parameters, and a parallel-differential evolutionary algorithm is designed to solve the model.
    Original languageEnglish
    Pages (from-to)3893-3900
    Number of pages8
    JournalIET Generation, Transmission and Distribution
    Issue number15
    Publication statusPublished - 17 Nov 2016


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