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