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Virtual power plant control concepts with electric vehicles

Virtual power plant control concepts with electric vehicles

Raab, A. F., Ferdowsi, M., Karfopoulos, E., Unda, I. Grau, Skarvelis-Kazakos, S., Papadopoulos, P., Abbasi, E., Cipcigan, L.M., Jenkins, N., Hatziargyriou, N. and Strunz, K. (2011) Virtual power plant control concepts with electric vehicles. In: 16th International Conference on Intelligent System Applications to Power Systems. IEEE Conference Publications . Institute of Electrical and Electronics Engineers, Inc., Piscataway, N.J., USA. ISBN 978-1-4577-0807-7 (Print), 978-1-4577-0808-4 (Online) (doi:10.1109/ISAP.2011.6082214)

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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 Proceedings
Title of Proceedings: 16th International Conference on Intelligent System Applications to Power Systems
Additional Information: [1] This paper was originally presented at the 16th International Conference on Intelligent System Application to Power Systems (ISAP) held from 25-28 September 2011 in Hersonisos, Crete, Greece.
Uncontrolled Keywords: distributed control, distributed power generation, electric vehicles, energy management, environmental economics, power generation dispatch, power system control, smart grids, virtual power plant, EV grid integration, VPP approach, aggregation approach, distributed control approach, distributed energy resources, electric vehicle grid integration, virtual power plant control concepts
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Engineering Systems
Related URLs:
Last Modified: 14 Oct 2016 09:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9048

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