Arbeitspapier

Pricing and Electric Vehicle Charging Equilibria

We study equilibria in an Electric Vehicle (EV) charging game, a cost minimization game inherent to decentralized charging control strategy for EV power demand management. In our model, each user optimizes its total cost which is sum of direct power cost and the indirect dissatisfaction cost. We show that, taking player specific price independent dissatisfaction cost into account, contrary to popular belief, herding only happens at lower EV uptake. Moreover, this is true for both linear and logistic dissatisfaction functions. We study the question of existence of price profiles to induce a desired equilibrium. We define two types of equilibria, distributed and non-distributed equilibria, and show that under logistic dissatisfaction, only non-distributed equilibria are possible by feasibly setting prices. In linear case, both type of equilibria are possible but price discrimination is necessary to induce distributed equilibria. Finally, we show that in the case of symmetric EV users, mediation cannot improve upon Nash equilibria.

Language
Englisch

Bibliographic citation
Series: QMS Research Paper ; No. 2022/10

Classification
Wirtschaft
Optimization Techniques; Programming Models; Dynamic Analysis
Noncooperative Games
Consumer Economics: Theory
Asymmetric and Private Information; Mechanism Design
Subject
Electric Vehicles
Pricing
Nash equilibrium
Coarse correlated equilibrium
Mediation
Herding
Dissatisfaction cost

Event
Geistige Schöpfung
(who)
Dokka, Trivikram
Bruno, Jorge
SenGupta, Sonali
Anwar, Sakib
Event
Veröffentlichung
(who)
Queen's University Belfast, Queen's Management School
(where)
Belfast
(when)
2022

DOI
doi:10.2139/ssrn.4260879
Handle
Last update
10.03.2023, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Dokka, Trivikram
  • Bruno, Jorge
  • SenGupta, Sonali
  • Anwar, Sakib
  • Queen's University Belfast, Queen's Management School

Time of origin

  • 2022

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