DocumentCode
22078
Title
Entropy-Based Metric for Characterization of Delayed Voltage Recovery
Author
Dasgupta, Sambarta ; Paramasivam, Magesh ; Vaidya, Umesh ; Ajjarapu, Venkataramana
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume
30
Issue
5
fYear
2015
fDate
Sept. 2015
Firstpage
2460
Lastpage
2468
Abstract
In this paper, we introduce a novel entropy-based metric to characterize the fault-induced delayed voltage recovery (FIDVR) phenomenon. In particular, we make use of Kullback-Leibler (KL) divergence to determine both the rate and the level of voltage recovery following a fault or disturbance. The computation of the entropy-based measure relies on voltage time-series data and is independent of the underlying system model used to generate the voltage time-series. The proposed measure provides quantitative information about the degree of WECC voltage performance violation for FIDVR phenomenon. The quantitative measure for violation allows one to compare the voltage responses of different buses to various contingencies and to rank order them, based on the degree of violation.
Keywords
entropy; power system faults; power system measurement; signal processing; time series; Kullback-Leibler divergence; WECC voltage performance violation; delayed voltage recovery characterization; entropy based metrics; fault induced delayed voltage recovery; voltage recovery rate; voltage time-series data; Approximation methods; Density functional theory; Entropy; Probability density function; Probability distribution; Steady-state; Voltage measurement; Contingency analysis; delayed voltage recovery; entropy;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2361649
Filename
6942243
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