Aggregate dynamic modelling and optimal control in cellular electric energy systems

Abstract The large number of distributed generators, storages, and other devices which might be connected to the distribution grid pose significant modelling and control questions. It is computationally unattractive and sometimes infeasible to model and control all these devices individually; some m...

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Main Authors: Holm Hinners, Sergio F. Contreras, Johanna Myrzik
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:IET Generation, Transmission & Distribution
Subjects:
Online Access:https://doi.org/10.1049/gtd2.12257
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author Holm Hinners
Sergio F. Contreras
Johanna Myrzik
author_facet Holm Hinners
Sergio F. Contreras
Johanna Myrzik
author_sort Holm Hinners
collection DOAJ
description Abstract The large number of distributed generators, storages, and other devices which might be connected to the distribution grid pose significant modelling and control questions. It is computationally unattractive and sometimes infeasible to model and control all these devices individually; some method of aggregating them both for modelling and for control is appealing so that they can be represented collectively. It would also be preferable to limit the complexity of the controlled devices' dynamic behavior for easy integration with higher‐level (i.e., higher‐authority) controllers in the cascade. This paper describes a method combining these control goals based on geometric flexibility regions, constrained optimization, and transfer function considerations to enforce approximated first‐order transfer function behaviour at the bus. Time‐domain simulations are used for validation and demonstration.
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spelling doaj.art-23e9b9c07c8d4351bcce731d942c18de2022-12-22T02:04:49ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952022-01-0116228229210.1049/gtd2.12257Aggregate dynamic modelling and optimal control in cellular electric energy systemsHolm Hinners0Sergio F. Contreras1Johanna Myrzik2Institute of Automation University of Bremen Bremen GermanyInstitute of Automation University of Bremen Bremen GermanyInstitute of Automation University of Bremen Bremen GermanyAbstract The large number of distributed generators, storages, and other devices which might be connected to the distribution grid pose significant modelling and control questions. It is computationally unattractive and sometimes infeasible to model and control all these devices individually; some method of aggregating them both for modelling and for control is appealing so that they can be represented collectively. It would also be preferable to limit the complexity of the controlled devices' dynamic behavior for easy integration with higher‐level (i.e., higher‐authority) controllers in the cascade. This paper describes a method combining these control goals based on geometric flexibility regions, constrained optimization, and transfer function considerations to enforce approximated first‐order transfer function behaviour at the bus. Time‐domain simulations are used for validation and demonstration.https://doi.org/10.1049/gtd2.12257Optimisation techniquesOptimal controlDistributed power generation
spellingShingle Holm Hinners
Sergio F. Contreras
Johanna Myrzik
Aggregate dynamic modelling and optimal control in cellular electric energy systems
IET Generation, Transmission & Distribution
Optimisation techniques
Optimal control
Distributed power generation
title Aggregate dynamic modelling and optimal control in cellular electric energy systems
title_full Aggregate dynamic modelling and optimal control in cellular electric energy systems
title_fullStr Aggregate dynamic modelling and optimal control in cellular electric energy systems
title_full_unstemmed Aggregate dynamic modelling and optimal control in cellular electric energy systems
title_short Aggregate dynamic modelling and optimal control in cellular electric energy systems
title_sort aggregate dynamic modelling and optimal control in cellular electric energy systems
topic Optimisation techniques
Optimal control
Distributed power generation
url https://doi.org/10.1049/gtd2.12257
work_keys_str_mv AT holmhinners aggregatedynamicmodellingandoptimalcontrolincellularelectricenergysystems
AT sergiofcontreras aggregatedynamicmodellingandoptimalcontrolincellularelectricenergysystems
AT johannamyrzik aggregatedynamicmodellingandoptimalcontrolincellularelectricenergysystems