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2020 | OriginalPaper | Buchkapitel

9. Robust Scheduling of Plug-In Electric Vehicles Aggregator in Day-Ahead and Reserve Markets

verfasst von : Amir Farahmand-Zahed, Sayyad Nojavan, Kazem Zare

Erschienen in: Electricity Markets

Verlag: Springer International Publishing

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Abstract

In recent years, the role of electric vehicles in the transportation system is growing because of the unfavorable effects of the use of fossil fuels. Aggregation of plug-in electric vehicles can provide enough energy for them to act as demand-side resources and participate in electricity markets. The operation schedule of plug-in electric vehicles aggregators needs to be optimized in order to maximize their benefits. In this chapter, the optimal scheduling problem of plug-in electric vehicles aggregators for participation in day-ahead and reserve markets is studied. The uncertainty of market price is applied using robust optimization approach. The proposed model is a mixed-integer linear programming model. The model was implemented on a test system and solved using the General Algebraic Modeling System (GAMS) software. The results indicate that with a 2.51% decrease of aggregator’s total profit, the aggregator will be robust against 20% changes in the market price.

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Nächstes Kapitel Optimal Scheduling of Water Distribution Systems’ Participation in Demand Response and Frequency Regulation Services

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Titel: Robust Scheduling of Plug-In Electric Vehicles Aggregator in Day-Ahead and Reserve Markets
verfasst von: Amir Farahmand-Zahed
Sayyad Nojavan
Kazem Zare
Verlag: Springer International Publishing
Buch: Electricity Markets
Print ISBN: 978-3-030-36978-1

Electronic ISBN: 978-3-030-36979-8

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-36979-8_9

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