Abstract
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Article Information:
A New Approach for Approximation of Location and Magnitude of Harmonic Sources
Y. Hoseynpoor and T. PirzadehAshraf
Corresponding Author: Yaser Hoseynpoor
Submitted: 2011 July, 26
Accepted: 2011 September, 07
Published: 2011 December, 26 |
Abstract:
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To maintain high quality power supply, the system harmonic levels must be measured and kept under
control. Given that too many measurement instruments are needed for a complete observation of the electric
quantities, a model based state estimation technique is proposed here. It exploits the few real time
measurements and all the other available information to estimate the harmonic currents injected by the
nonlinear loads. In this research, a new method is proposed to solve the problem of optimal placement of meters
for static estimation of harmonic sources in a power system. Because of limitation the number of harmonic
measurements that must be installed in the network, harmonic state estimation has been considered as one of
the famous methods for measuring voltage and injection current busbar, lines current and placement these
measurements with algorithm based on sequential elimination method. Also, after that algorithm could find
location of measurements in various busbars at harmonics, technique minimization number of sites that they
collect harmonic data from measurement devices, optimal placement of these measurements will be done. By
use this technique, it can find optimal place of measurement for identification location and intensity of
harmonic sources. This investigation have been performed on IEEE 14-bus with 69 possible location to install
these measurement in Matlab software.
Key words: Electric distribution system, harmonic measurement, optimal placement, state estimation, , ,
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Abstract
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Cite this Reference:
Y. Hoseynpoor and T. PirzadehAshraf, . A New Approach for Approximation of Location and Magnitude of Harmonic Sources. Research Journal of Applied Sciences, Engineering and Technology, (12): 1414-1420.
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![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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