Adaptive parameter tuning strategy of VSG-based islanded microgrid under uncertainties

Grover, H; Sharma, S; Verma, A; Hossain, MJ; Kamwa, I

Adaptive parameter tuning strategy of VSG-based islanded microgrid under uncertainties

Grover, H Sharma, S Verma, A Hossain, MJ Kamwa, I

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Publisher:: ELSEVIER SCIENCE SA
Publication Type:: Journal Article
Citation:: Electric Power Systems Research, 2024, 235
Issue Date:: 2024-10-01

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Field	Value	Language
dc.contributor.author	Grover, H
dc.contributor.author	Sharma, S
dc.contributor.author	Verma, A
dc.contributor.author	Hossain, MJ
dc.contributor.author	Kamwa, I
dc.date.accessioned	2025-02-24T02:43:09Z
dc.date.available	2025-02-24T02:43:09Z
dc.date.issued	2024-10-01
dc.identifier.citation	Electric Power Systems Research, 2024, 235
dc.identifier.issn	0378-7796
dc.identifier.issn	1873-2046
dc.identifier.uri	http://hdl.handle.net/10453/185278
dc.description.abstract	This paper proposes adaptive parameter tuning strategy for a virtual-synchronous generator (VSG) during islanding conditions to improve frequency oscillations occurring due to uncertainties in load and solar photovoltaic (PV) output. Accordingly, an adaptive two-level optimization model has been developed for optimal tuning of VSG parameters. It provides dynamic virtual inertia value to VSG by maintaining rate-of-change-of-frequency (RoCoF) within prescribed limits under disturbance. The first level calculates the initial value of VSG parameters using robust control considering day-ahead operation schedules and uncertainty information. During intra-day operation stage on the following day, as soon as islanding is detected, the VSG is operated with robust values of the parameters computed day ahead at the first level. Furthermore, during islanded operation, second level utilizes initial values from first level and determines expectation values of short-leading-time predictions of PV output and load, and performs an adaptive stochastic optimization of VSG parameters in intervals of 5 min. Extensive simulations have been performed to evaluate the performance of proposed adaptive parameters tuning strategy on modified Cigre European LV network. Furthermore, effectiveness of proposed control approach has been validated on laboratory-scale hardware experimental setup under uncertain environments and cyber-attack. Results reveal improved performance of adaptive VSG in regulating network frequency in presence of system uncertainties.
dc.language	English
dc.publisher	ELSEVIER SCIENCE SA
dc.relation.ispartof	Electric Power Systems Research
dc.relation.isbasedon	10.1016/j.epsr.2024.110854
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.subject.classification	4008 Electrical engineering
dc.title	Adaptive parameter tuning strategy of VSG-based islanded microgrid under uncertainties
dc.type	Journal Article
utslib.citation.volume	235
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.date.updated	2025-02-24T02:43:07Z
pubs.publication-status	Published
pubs.volume	235

Abstract:

This paper proposes adaptive parameter tuning strategy for a virtual-synchronous generator (VSG) during islanding conditions to improve frequency oscillations occurring due to uncertainties in load and solar photovoltaic (PV) output. Accordingly, an adaptive two-level optimization model has been developed for optimal tuning of VSG parameters. It provides dynamic virtual inertia value to VSG by maintaining rate-of-change-of-frequency (RoCoF) within prescribed limits under disturbance. The first level calculates the initial value of VSG parameters using robust control considering day-ahead operation schedules and uncertainty information. During intra-day operation stage on the following day, as soon as islanding is detected, the VSG is operated with robust values of the parameters computed day ahead at the first level. Furthermore, during islanded operation, second level utilizes initial values from first level and determines expectation values of short-leading-time predictions of PV output and load, and performs an adaptive stochastic optimization of VSG parameters in intervals of 5 min. Extensive simulations have been performed to evaluate the performance of proposed adaptive parameters tuning strategy on modified Cigre European LV network. Furthermore, effectiveness of proposed control approach has been validated on laboratory-scale hardware experimental setup under uncertain environments and cyber-attack. Results reveal improved performance of adaptive VSG in regulating network frequency in presence of system uncertainties.

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http://hdl.handle.net/10453/185278