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
Link To Document :
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