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• W4281662024 abstract "The ongoing rapid increase in the integration of variable and uncertain renewable energy sources calls for enhancing the ways of providing flexibility to power grids. To this end, we propose an optimal approach for utilizing electric vehicle parking lots to provide flexibility at the distribution level. Accordingly, we present a day-ahead scheduling model for distribution system operators, where they can offer discounts on the network tariff to electric vehicle parking lot operators. This way, they will be encouraged to exploit the potential flexibility of electric vehicle batteries to assist in alleviating the steep ramps of system net-load. To determine the optimal discounts, the distribution system operator minimizes the network operating costs considering the network operational constraints, while the electric vehicle parking lot operators try to maximize their profits. Due to the contradictory objectives and decision hierarchy, the problem is an instance of Stackelberg games and can be formulated as a bi-level program, which is linearized and converted to a single-level mixed-integer linear program using strong-duality theorem and Karush–Kuhn–Tucker conditions. To validate the proposed model, comprehensive simulation studies are performed on a test distribution network. The simulation results show that implementing the model can reduce the peak-off-peak difference and peak-to-average ratio of the network net-load by up to 15% and 24%, respectively. • A framework to motivate EV parking lots (EVPLs) to provide services in distribution networks. • Introducing a MILP model for distribution network operation that utilises EVPLs’ flexibility. • The model finds the optimal financial discounts that incentivise EVPLs to reduce net-load ramp. • Proposing a linear model for accurate estimation of the EV battery degradation cost. • Using the Unscented Transformation method to capture the correlated data uncertainties." @default.
• W4281662024 created "2022-06-13" @default.
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• W4281662024 date "2022-11-01" @default.
• W4281662024 modified "2023-10-12" @default.
• W4281662024 title "Leveraging the flexibility of electric vehicle parking lots in distribution networks with high renewable penetration" @default.
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• W4281662024 doi "https://doi.org/10.1016/j.ijepes.2022.108366" @default.
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