TY - JOUR
T1 - Transient and stability analysis of heterogeneous micro-grid networks subject to uncertainties
AU - Mendoza, Fernando Genis
AU - Bauso, Dario
AU - Namerikawa, Toru
N1 - Publisher Copyright:
© This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
PY - 2020/12/1
Y1 - 2020/12/1
N2 - In this study, networks of interconnected heterogeneous micro-grids are studied. The transient dynamics is modelled as an averaging process whereby micro-grids are assimilated to dynamic agents in a network. An analysis of the convergence of the consensus dynamics is carried out under different assumptions on the damping and inertia parameters and the topology of the network. This study provides an insight into the relation between the network topology and the system's response. An analysis of the ways in which the heterogeneous inertial parameters affect the transient response of the network is also implemented. Additionally, the conditions that guarantee stability are identified when the system is under the influence of uncertain non-linear parameters. Finally, simulations are carried out based on a model calibrated on an existing network in the UK under parameter uncertainties.
AB - In this study, networks of interconnected heterogeneous micro-grids are studied. The transient dynamics is modelled as an averaging process whereby micro-grids are assimilated to dynamic agents in a network. An analysis of the convergence of the consensus dynamics is carried out under different assumptions on the damping and inertia parameters and the topology of the network. This study provides an insight into the relation between the network topology and the system's response. An analysis of the ways in which the heterogeneous inertial parameters affect the transient response of the network is also implemented. Additionally, the conditions that guarantee stability are identified when the system is under the influence of uncertain non-linear parameters. Finally, simulations are carried out based on a model calibrated on an existing network in the UK under parameter uncertainties.
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U2 - 10.1049/iet-stg.2020.0049
DO - 10.1049/iet-stg.2020.0049
M3 - Article
AN - SCOPUS:85098912675
SN - 2515-2947
VL - 3
SP - 851
EP - 859
JO - IET Smart Grid
JF - IET Smart Grid
IS - 6
ER -