DocumentCode :
2022844
Title :
Application of dynamic equivalence techniques to derive aggregated models of active distribution network cells and microgrids
Author :
Resende, F.O. ; Matevosyan, Julia ; Milanovic, Jovica V.
Author_Institution :
INESC-Porto (Inst. of Eng. & Comput. Syst. of Porto), Porto, Portugal
fYear :
2013
fDate :
16-20 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Large deployment of distributed generation into distribution systems brings new challenges regarding the shift from the passive to the active control paradigm. These challenges have been extended to the field of dynamic equivalence. Developing effective reduced order models for active distribution network cells for dynamic and stability studies require a careful evaluation of the techniques that have been used in conventional power systems. Thus, a survey of the existing approaches is presented in this paper. Also a critical overview is provided regarding their application to active distribution network cells and microgrids. Technical requirements are identified and recommendations are provided.
Keywords :
distributed power generation; power distribution control; power generation control; power system simulation; active control paradigm; active distribution network cells; aggregated model; distributed generation; dynamic equivalence techniques; microgrids; Computational modeling; Generators; Load modeling; Modal analysis; Nonlinear dynamical systems; Power system dynamics; Power system stability; Active distribution network cells; MicroGrids; artificial neural networks; coherency based methods; dynamic equivalents; modal analysis; system identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PowerTech (POWERTECH), 2013 IEEE Grenoble
Conference_Location :
Grenoble
Type :
conf
DOI :
10.1109/PTC.2013.6652356
Filename :
6652356
Link To Document :
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