Optimal Pricing to Manage Electric Vehicles in Coupled Power and Transportation Networks
TLDR
A scheme in which independent power and transportation system operators can collaborate to manage each network towards a socially optimum operating point while keeping the operational data of each system private is proposed.Abstract:
We study the system-level effects of the introduction of large populations of Electric Vehicles (EVs) on the power and transportation networks. We assume that each EV owner solves a decision problem to pick a cost-minimizing charge and travel plan. This individual decision takes into account traffic congestion in the transportation network, affecting travel times, as well as congestion in the power grid, resulting in spatial variations in electricity prices for battery charging. We show that this decision problem is equivalent to finding the shortest path on an “extended” transportation graph, with virtual arcs that represent charging options. Using this extended graph, we study the collective effects of a large number of EV owners individually solving this path planning problem. We propose a scheme in which independent power and transportation system operators can collaborate to manage each network towards a socially optimum operating point while keeping the operational data of each system private. We further study the optimal reserve capacity requirements for pricing in the absence of such collaboration. We showcase numerically that a lack of attention to interdependencies between the two infrastructures can have adverse operational effects.read more
Citations
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Network Equilibrium of Coupled Transportation and Power Distribution Systems
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Coordinated Planning Strategy for Electric Vehicle Charging Stations and Coupled Traffic-Electric Networks
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Planning for electric vehicle needs by coupling charging profiles with urban mobility
Yanyan Xu,Serdar Çolak,Serdar Çolak,Emre Can Kara,Scott J. Moura,Marta C. González,Marta C. González,Marta C. González +7 more
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EV Charging Schedule in Coupled Constrained Networks of Transportation and Power System
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References
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Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem
TL;DR: In this paper, a two-stage adaptive robust unit commitment model for the security constrained unit commitment problem in the presence of nodal net injection uncertainty is proposed, which only requires a deterministic uncertainty set, rather than a hard-to-obtain probability distribution on the uncertain data.
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Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation
TL;DR: This work proposes an aggregator that makes efficient use of the distributed power of electric vehicles to produce the desired grid-scale power and applies the dynamic programming algorithm to compute the optimal charging control for each vehicle.
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Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile
TL;DR: This paper proposes a novel load management solution for coordinating the charging of multiple plug-in electric vehicles (PEVs) in a smart grid system based on real-time (e.g., every 5 min) minimization of total cost of generating the energy plus the associated grid energy losses.