Title :
Clustering Distributed Generation using the instantaneous Euclidean Distance in polar coordinates
Author :
Preda, Traian Nicolae ; Uhlen, K. ; Nordgard, Dag Eirik
Author_Institution :
Dept. of Electr. Power Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Abstract :
Adequate modeling of active distribution grids in transmission system analysis require the use of dynamic equivalents. This paper presents a new method to determine the electromechanical coherency between synchronously based distributed generators. The proposed method allows the computation of the instantaneous Euclidean Distance in polar coordinates for clustering Distributed Generation units in a test power system.
Keywords :
distributed power generation; pattern clustering; power distribution; power transmission; active distribution grids; distributed generation units clustering; dynamic equivalents; electromechanical coherency; instantaneous Euclidean distance; polar coordinates; test power system; transmission system analysis; Distributed power generation; Euclidean distance; Generators; Oscillators; Power system dynamics; Power system stability; active distribution networks; distributed generation; electromechanically coherency; modes decomposition;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695438