作者: Sambarta Dasgupta , Magesh Paramasivam , Umesh Vaidya , Venkataramana Ajjarapu
DOI: 10.1109/TPWRS.2014.2361649
关键词: Voltage 、 Probability density function 、 Entropy (information theory) 、 Probability distribution 、 Mathematics 、 Quantitative measure 、 Control theory 、 System model 、 Computation
摘要: In this paper, we introduce a novel entropy-based metric to characterize the fault-induced delayed voltage recovery (FIDVR) phenomenon. particular, make use of Kullback-Leibler (KL) divergence determine both rate and level following fault or disturbance. The computation measure relies on time-series data is independent underlying system model used generate time-series. proposed provides quantitative information about degree WECC performance violation for FIDVR allows one compare responses different buses various contingencies rank order them, based violation.