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
Link To Document :
بازگشت