A Coupled V2G Equilibrium Model of Electric Vehicle and Power System Interactions

TL;DR

This paper introduces a coupled equilibrium model for V2G interactions, analyzing how EVs and power systems influence each other economically and operationally under stress scenarios.

Contribution

It develops a multi-player Variational Inequality framework capturing bidirectional EV-grid interactions and decision-making processes.

Findings

V2G reduces load shedding and lowers electricity prices during stress.

Incentivized EVs can alter route choices and improve trip economics.

The model is validated through numerical studies under different stress scenarios.

Abstract

Vehicle-to-grid (V2G) technology empowers electric vehicles (EVs) to act as mobile energy resources, providing critical support to power systems, especially under stressed conditions. To understand the economic mechanism driving V2G participation and its benefits to power grid, this paper proposes a multi-player coupled equilibrium framework that models the bidirectional interactions between power grid operations and EV routing, incorporating charging and discharging choice in a preprocessed feasible path generation procedure. Energy prices are endogenously determined by market clearance conditions. We formulate the overall problem as a Variational Inequality that unite the decision-making of Distribution System Operator, Charging Network Operator, Load Serving Entities, and EV drivers. Numerical studies validate the framework under two stress scenarios: increased household load and power line outages. Results show that when EVs are incentivized by reduced generalized path costs, V2G is particularly effective in eliminating load shedding and reducing distribution locational marginal electricity prices. On the transportation side, V2G can lead to divergence in EV behavior between normal and scarcity conditions, and alter route choices yet improve overall trip economic.