Evaluating the Effect of Electric Vehicle Parking Lots in Transmission-Constrained AC Unit Commitment under a Hybrid IGDT-Stochastic Approach

Ahrabi, Masoumeh, Abedi, Mehrdad, Nafisi, Hamed, Mirzaei, Mohammad Amin, Mohammadi-Ivatloo, Behnam and Marzband, Mousa (2021) Evaluating the Effect of Electric Vehicle Parking Lots in Transmission-Constrained AC Unit Commitment under a Hybrid IGDT-Stochastic Approach. International Journal of Electrical Power & Energy Systems, 125. p. 106546. ISSN 0142-0615

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Official URL: https://doi.org/10.1016/j.ijepes.2020.106546

Abstract

Power network operators have recently faced new challenges due to an increase in the penetration of non-dispatchable renewable energy sources in power grids. Incorporating emerging flexible resources like electric vehicle parking lots (EVPLs) and demand response programs (DRPs) into power systems, could be a good solution to deal with inherent uncertainties imposed by these resources to the power grid. EVPLs can improve power system operating conditions by active and reactive power injection capabilities. The participation of consumers in DRPs can also improve energy consumption management by decreasing or shifting loads to other periods. This paper proposes a hybrid information gap decision theory (IGDT)- stochastic method to solve a transmission-constrained AC unit commitment model integrated with electric vehicle (EV), incentive-based DRP, and wind energy. The behavioural uncertainty related to EV owners is modelled using a scenario-based method. Additionally, an IGDT method is applied to manage wind energy uncertainty under a two-level optimization model. Verification of the proposed model is done under several case studies. Based on the results achieved, the proposed risk-based hybrid model allows the operator to differentiate between the risk level of existing uncertainties and apply a high-flexibility decision-making model to deal with such difficulties. Additionally, the role of the aforementioned flexible resources in the reduction of power system running costs and wind power uncertainty handling are evaluated. Numerical results confirm a 3.7% reduction in the daily operating costs as a consequence of coordinated scheduling of EVPL and DRP. Moreover, Taking advantage of reactive power injection of EVPL provides more cost savings

Item Type: Article
Uncontrolled Keywords: Information-gap decision theory, Electric vehicle parking lot, Demand response program, Renewable energy resource, Stochastic programming, Emerging flexible resources
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 28 Sep 2020 10:05
Last Modified: 26 Nov 2020 15:51
URI: http://nrl.northumbria.ac.uk/id/eprint/44313

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