NDLI: Voltage Sag State Estimation For Power Distribution Systems Using Kalman Filter

Content Provider	IEEE Xplore Digital Library
Author	Janabali, Mahda Meshksar, Sina Farjah, Ebrahim Zolghadri, Mansour
Copyright Year	2007
Description	Author affiliation: Dept. Of Electrical Eng.-Shiraz University- Shiraz-Iran. Fax: +98-711-6287294 Tel: is +98-711-2303081 E-mail: farjah@shirazu.ac.ir (Farjah, Ebrahim) \|\| Dept. Of Electrical Eng.-Shiraz University- Shiraz-Iran (Janabali, Mahda; Meshksar, Sina; Zolghadri, Mansour)
Abstract	The increased awareness on power quality has resulted in the need to quantify the voltage sag performance of a distribution feeder, similar to what has been done on characterizing the reliability performance of a feeder. Since it is impossible to measure the sag level at every node of a distribution feeder, estimation of sag characteristics at unmetered nodes becomes necessary. This paper proposes the concept of "voltage sag state estimation" using a Kalman filter. The applied technique has the following characteristics: 1)It makes use of the model characteristics of a distribution feeder, 2) It is based on a limited number of metering points, and 3) It employs a Kalman filter to estimate the sag profile along a distribution line. The procedure is then applied to part of an IEEE 123 bus distribution test system and the results have been compared with least mean square approach. The comparison shows the improvements provided by this method. The results of the sag state estimator can then be used to calculate the feeder power quality performance indices such as the System Average RMS Frequency Index (SARFIx).
Starting Page	2449
Ending Page	2453
File Size	2111049
Page Count	5
File Format	PDF
ISBN	9781424407545
DOI	10.1109/ISIE.2007.4374991
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage fluctuations State estimation Power distribution Power quality Frequency estimation System testing Threshold voltage Power system reliability Power system modeling Kalman filters Voltage Sag Distribution systems Power Quality Kalman Filtering Stochastic Estimator
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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