DocumentCode
2133
Title
Large Signal Stability Analysis at the Common Coupling Point of a DC Microgrid: A Grid Impedance Estimation Approach Based on a Recursive Method
Author
Sanchez, Santiago ; Molinas, Marta
Author_Institution
Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Volume
30
Issue
1
fYear
2015
fDate
Mar-15
Firstpage
122
Lastpage
131
Abstract
The design of microgrids at the level of distribution systems requires a stable behavior for multiple operation states. The tools used to study the stability of such systems require the estimation of the grid impedance. By the use of the grid impedance estimation around an operation point, it is possible to define a space variable-parameter to obtain a qualitative or quantitative measure from the operation to the unstable boundary. This study presents a comparison of the Kalman filter and the recursive least squares method for the estimation of the grid impedance. The grid impedance is estimated by the technique based on two neighbor operation points. The results were validated by a hardware in the loop and an experimental setup. Finally, the estimated values of the grid impedance of a microgrid are used with a large signal stability study of a dc constant power load.
Keywords
Kalman filters; distributed power generation; least squares approximations; DC microgrid; Grid impedance estimation approach; Kalman filter; coupling point; dc constant power load; distribution systems; grid impedance; grid impedance estimation; large signal stability analysis; microgrids design; multiple operation states; recursive least squares method; recursive method; signal stability; space variable-parameter; Equations; Estimation; Impedance; Mathematical model; Microgrids; Power system stability; Stability analysis; Distributed power; impedance estimation; microgrid; power electronic systems; stability;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2014.2359993
Filename
6928441
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