Open AccessMeasurement‐based analysis of the dynamic performance of microgrids using system identification techniques
Author(s) -
Papadopoulos Panagiotis N.,
Papadopoulos Theofilos A.,
Crolla Paul,
Roscoe Andrew J.,
Papagiannis Grigoris K.,
Burt Graeme M.
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0555
Subject(s) - identification (biology) , computer science , system dynamics , system identification , control engineering , data mining , engineering , artificial intelligence , biology , botany , measure (data warehouse)
The dynamic performance of microgrids is of crucial importance, because of the increased complexity introduced by the combined effect of inverter interface and rotating distributed generation. This study presents a methodology for the investigation of the dynamic behaviour of microgrids based on measurements using Prony analysis and state‐space black‐box modelling techniques. Both methods are compared and evaluated using real operating conditions data obtained by a laboratory microgrid system. The recorded responses and the calculated system eigenvalues are used to analyse the system dynamics and interactions among the distributed generation units. The proposed methodology can be applied to any real‐world microgrid configuration, taking advantage of the future smart grid technologies and features.