Research Article | OPEN ACCESS
A New Estimation Model to Control DVR for Mitigating Voltage Sags in Distribution Systems
1P. Sasi Kiran and 2T. Gowri Manohar
1Department of Electrical and Electronics Engineering, K.L. University,
Vaddeswaram, Guntur, Andhra Pradesh, India
2Department of Electrical and Electronics Engineering, College of Engineering, S.V. University, Tirupathi, A.P., India
Research Journal of Applied Sciences, Engineering and Technology 2015 9:934-949
Received: March 14, 2015 | Accepted: June 18, 2015 | Published: November 25, 2015
Abstract
In this study proposed, for voltage sag mitigation an estimation method based on Extended Kalman Filter (EKF) is suggested. The suggested EKF based estimation technique is applied to help the control algorithm for producing reference signals of Voltage Source Converter (VSC) of DVR. DVR offers the compensation voltage as output which is inserted in the connected line. With this estimation method, voltage sag issues are found out with precision and faster performance to revoke out the sag appearance in sensitivity load connected distribution systems. The presentation of the suggested estimation technique is examined in terms of presenting the fundamental sinusoidal waveform to the nonlinear sensitive load. The confirmation of the suggested estimation algorithm is carried out on MATLAB working platform. Simulation effects are inspected and suggested one is compared with Linear Kalman Filter (LKF).
Keywords:
Control algorithm, DVR, EKF, estimation technique , LKF, voltage sag,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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