Article (Scientific journals)
An active Distribution Network Equivalent derived from large-disturbance Simulations with Uncertainty
Chaspierre, Gilles; Denis, Guillaume; Panciatici, Patrick et al.
2020In IEEE Transactions on Smart Grid
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Keywords :
active distribution network; inverter-based generator; dynamic equivalent; grey-box model; uncertain dynamic model; Monte-Carlo simulations; LASSO method
Abstract :
[en] A reduced-order, “grey-box” model of an active distribution network, intended for dynamic simulations of the transmission system, is derived. The network hosts inverter-based generators as well as static and motor loads, whose dynamic parameters are affected by uncertainty. This issue is addressed using Monte-Carlo simulations. The parameters of the equivalent are adjusted to match as closely as possible the average of the randomized responses, while their dispersion is accounted for through the weights of the weighted least-square minimization. A procedure is used to remove from the identification the parameters with negligible impact. To avoid over-fitting, the equivalent is tuned for multiple large-disturbance simulations. A recursive procedure is used to select the smallest possible subset of disturbances involved in the least-square minimization. Simulation results with a 75-bus MV test-system are reported. They show that the equivalent is able to reproduce with good accuracy the discontinuous controls of inverter-based generators, such as reactive current injection and tripping.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Chaspierre, Gilles ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Denis, Guillaume
Panciatici, Patrick
Van Cutsem, Thierry  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
An active Distribution Network Equivalent derived from large-disturbance Simulations with Uncertainty
Publication date :
2020
Journal title :
IEEE Transactions on Smart Grid
ISSN :
1949-3053
Publisher :
Institute of Electrical and Electronics Engineers, United States - New Jersey
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 29 May 2020

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