Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Virtual power plant control concepts with electric vehicles

Raab, A. F., Ferdowsi, M., Karfopoulos, E., Grau, Inaki, Skarvelis-Kazakos, S., Papadopoulos, Panagiotis, Abbasi, E., Cipcigan, Liana Mirela ORCID: https://orcid.org/0000-0002-5015-3334, Jenkins, Nicholas ORCID: https://orcid.org/0000-0003-3082-6260, Hatziargyriou, N. and Strunz, K. 2011. Virtual power plant control concepts with electric vehicles. Presented at: 16th International Conference on Intelligent Systems Applications to Power Systems, Crete, Greece, 25-28 September 2011. 2011 16th International Conference on Intelligent System Applications to Power Systems. IEEE, 10.1109/ISAP.2011.6082214

Full text not available from this repository.

Abstract

Three approaches for grid integration of Electric Vehicles (EVs) through a Virtual Power Plant (VPP) concept are introduced. A classification of these different ways for realizing a VPP based on the control structure, resource type, and the aggregation approach is discussed. This is followed by a description of the three VPP approaches, which are referred to as direct, hierarchical, and distributed control approaches. For each of the three approaches, the necessary operational steps are discussed and the differences are highlighted. Finally, a case study is presented to demonstrate EV integration through a VPP concept.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Uncontrolled Keywords: Distributed control ; Distributed power generation ; Electric Vehicles ; Energy management ; Environmental economics ; Power generation dispatch ; Power system control ; Smart grids ; Virtual Power Plant
Publisher: IEEE
ISBN: 9781457708077
Last Modified: 21 Oct 2022 10:13
URI: https://orca.cardiff.ac.uk/id/eprint/39481

Citation Data

Cited 56 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item