Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control

Frederik Banis; Daniela Guericke; Henrik Madsen; Niels Kjølstad Poulsen

doi:10.1016/j.ifacol.2019.08.238

Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control

Frederik Banis, Daniela Guericke, Henrik Madsen, Niels Kjølstad Poulsen

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Abstract

In Microgrids with uncertain production storages are valuable assets to facilitate system stabilization. Consequently, electric vehicles (EVs) are promising for providing prosumer services. EVs are assets driven by human behavior, consequently they can rarely be directly controlled. However, indirect control approaches are considered promising regarding their integration into system controls. In this paper we consider a hierarchy of optimized system controls including indirect control approaches in order to leverage flexibility potential associated with EVs. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Original language	English
Book series	IFAC-PapersOnLine
Volume	52
Issue number	4
Pages (from-to)	371-376
ISSN	2405-8963
DOIs	https://doi.org/10.1016/j.ifacol.2019.08.238
Publication status	Published - 2019
Event	IFAC Workshop on Control of Smart Grid and Renewable Energy Systems - Hyatt Regency Jeju, Jeju, Korea, Republic of Duration: 10 Jun 2019 → 12 Jun 2019 http://csgres2019.com/

Conference

Conference	IFAC Workshop on Control of Smart Grid and Renewable Energy Systems
Location	Hyatt Regency Jeju
Country/Territory	Korea, Republic of
City	Jeju
Period	10/06/2019 → 12/06/2019
Internet address	http://csgres2019.com/

Keywords

Predictive Control
Indirectly Controlled Systems
Electric Vehicles

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10.1016/j.ifacol.2019.08.238

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title = "Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control",

abstract = " In Microgrids with uncertain production storages are valuable assets to facilitate system stabilization. Consequently, electric vehicles (EVs) are promising for providing prosumer services. EVs are assets driven by human behavior, consequently they can rarely be directly controlled. However, indirect control approaches are considered promising regarding their integration into system controls. In this paper we consider a hierarchy of optimized system controls including indirect control approaches in order to leverage flexibility potential associated with EVs. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.",

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author = "Frederik Banis and Daniela Guericke and Henrik Madsen and Poulsen, {Niels Kj{\o}lstad}",

year = "2019",

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AU - Banis, Frederik

AU - Guericke, Daniela

AU - Madsen, Henrik

AU - Poulsen, Niels Kjølstad

PY - 2019

Y1 - 2019

N2 - In Microgrids with uncertain production storages are valuable assets to facilitate system stabilization. Consequently, electric vehicles (EVs) are promising for providing prosumer services. EVs are assets driven by human behavior, consequently they can rarely be directly controlled. However, indirect control approaches are considered promising regarding their integration into system controls. In this paper we consider a hierarchy of optimized system controls including indirect control approaches in order to leverage flexibility potential associated with EVs. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

AB - In Microgrids with uncertain production storages are valuable assets to facilitate system stabilization. Consequently, electric vehicles (EVs) are promising for providing prosumer services. EVs are assets driven by human behavior, consequently they can rarely be directly controlled. However, indirect control approaches are considered promising regarding their integration into system controls. In this paper we consider a hierarchy of optimized system controls including indirect control approaches in order to leverage flexibility potential associated with EVs. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

KW - Predictive Control

KW - Indirectly Controlled Systems

KW - Electric Vehicles

U2 - 10.1016/j.ifacol.2019.08.238

DO - 10.1016/j.ifacol.2019.08.238

M3 - Journal article

SN - 2405-8963

VL - 52

SP - 371

EP - 376

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

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T2 - IFAC Workshop on Control of Smart Grid and Renewable Energy Systems

Y2 - 10 June 2019 through 12 June 2019

ER -

Supporting power balance in Microgrids with Uncertain Production using Electric Vehicles and Indirect Control

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