A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases

This paper deals with the derivation of dynamic equivalents of active distribution networks, hosting inverter-based generators as well as static and motor loads. Equivalents are reduced-order models for use in dynamic simulations of the transmission system. They are of the grey-box types and their p...

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Autores principales:	Gilles Chaspierre, Guillaume Denis, Patrick Panciatici, Thierry Van Cutsem
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Active distribution network inverter-based generator dynamic equivalent grey-box model large-scale dynamic simulations LASSO method Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/c78a7b2c8ac24984ab90d79709fc393e
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spelling	oai:doaj.org-article:c78a7b2c8ac24984ab90d79709fc393e2021-11-10T00:09:20ZA Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases2687-791010.1109/OAJPE.2021.3102499https://doaj.org/article/c78a7b2c8ac24984ab90d79709fc393e2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9505666/https://doaj.org/toc/2687-7910This paper deals with the derivation of dynamic equivalents of active distribution networks, hosting inverter-based generators as well as static and motor loads. Equivalents are reduced-order models for use in dynamic simulations of the transmission system. They are of the grey-box types and their parameters are identified from large-disturbance Monte-Carlo simulations accounting for model uncertainty. After presenting an overview of the identification method at a single operating point, the paper deals with the update the equivalent when the operating conditions of the distribution network change. A procedure identifies the parameters to update, hence avoiding a complete new identification. Besides illustrative examples, two sets of simulation results are reported. First, the accuracy of the equivalent is validated in a long-term voltage instability scenario. Second, a larger-scale application is presented, with numerous instances of the equivalent attached to the model of the IEEE Nordic transmission test system. This combined model is used to assess the impact on short- and long-term voltage stability of the inverter-based generators with fast and slow controls.Gilles ChaspierreGuillaume DenisPatrick PanciaticiThierry Van CutsemIEEEarticleActive distribution networkinverter-based generatordynamic equivalentgrey-box modellarge-scale dynamic simulationsLASSO methodDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENIEEE Open Access Journal of Power and Energy, Vol 8, Pp 497-509 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Active distribution network inverter-based generator dynamic equivalent grey-box model large-scale dynamic simulations LASSO method Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Active distribution network inverter-based generator dynamic equivalent grey-box model large-scale dynamic simulations LASSO method Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Gilles Chaspierre Guillaume Denis Patrick Panciatici Thierry Van Cutsem A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
description	This paper deals with the derivation of dynamic equivalents of active distribution networks, hosting inverter-based generators as well as static and motor loads. Equivalents are reduced-order models for use in dynamic simulations of the transmission system. They are of the grey-box types and their parameters are identified from large-disturbance Monte-Carlo simulations accounting for model uncertainty. After presenting an overview of the identification method at a single operating point, the paper deals with the update the equivalent when the operating conditions of the distribution network change. A procedure identifies the parameters to update, hence avoiding a complete new identification. Besides illustrative examples, two sets of simulation results are reported. First, the accuracy of the equivalent is validated in a long-term voltage instability scenario. Second, a larger-scale application is presented, with numerous instances of the equivalent attached to the model of the IEEE Nordic transmission test system. This combined model is used to assess the impact on short- and long-term voltage stability of the inverter-based generators with fast and slow controls.
format	article
author	Gilles Chaspierre Guillaume Denis Patrick Panciatici Thierry Van Cutsem
author_facet	Gilles Chaspierre Guillaume Denis Patrick Panciatici Thierry Van Cutsem
author_sort	Gilles Chaspierre
title	A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
title_short	A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
title_full	A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
title_fullStr	A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
title_full_unstemmed	A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases
title_sort	dynamic equivalent of active distribution network: derivation, update, validation and use cases
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/c78a7b2c8ac24984ab90d79709fc393e
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A Dynamic Equivalent of Active Distribution Network: Derivation, Update, Validation and Use Cases

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