An Incentive Mechanism for Electric Vehicles Participation in Security Constrained Unit Commitment of Renewable-Integrated Smart Grids

Journal Article (2023)
Author(s)

Amirhossein Akbari (K.N. Toosi University of Technology)

Ahmadreza Alavi-Koosha (K.N. Toosi University of Technology)

Mojtaba Moradi-Sepahvand (TU Delft - Intelligent Electrical Power Grids)

Mohammadreza Toulabi (K.N. Toosi University of Technology)

Turaj Amraee (K.N. Toosi University of Technology)

Seyyed Mohammad Taghi Bathaee (K.N. Toosi University of Technology)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/TII.2023.3316755
More Info
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Publication Year
2023
Language
English
Research Group
Intelligent Electrical Power Grids
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
3
Volume number
20
Pages (from-to)
3824-3834
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Abstract

This article presents an electric vehicle (EV)-integrated security constrained unit commitment (EV-SCUC) based on N−1 criteria for single line outage contingency under intermittency of load and renewable energy sources (RESs). Two EV control mechanisms are proposed. In first, EV balance control, financial targets are prioritized while flexibility is provided for the power network. In second control, after derivation of cumulative power transfer distribution factor (CPTDF) from power network, a CPTDF-based EV control is modeled toward an incentive-based congestion criteria management. The uncertainties of solar, wind, and load are captured by a hybrid chronological time-period clustering algorithm with Monte Carlo method. The performance of the proposed EV-SCUC model is tested on the IEEE 6-bus and the IEEE One and Two Area RTS-96 systems with integrated EV fleets. Under EV spatiotemporal constraints, results confirm that the system operator can decisively control commitment decisions, total cost, incentive payments, and pre/postcontingency congestion criteria under different EV control parameters and RES penetration deterministically or stochastically.

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