37 research outputs found
Competitive Charging Station Pricing for Plug-in Electric Vehicles
This paper considers the problem of charging station pricing and plug-in
electric vehicles (PEVs) station selection. When a PEV needs to be charged, it
selects a charging station by considering the charging prices, waiting times,
and travel distances. Each charging station optimizes its charging price based
on the prediction of the PEVs' charging station selection decisions and the
other station's pricing decision, in order to maximize its profit. To obtain
insights of such a highly coupled system, we consider a one-dimensional system
with two competing charging stations and Poisson arriving PEVs. We propose a
multi-leader-multi-follower Stackelberg game model, in which the charging
stations (leaders) announce their charging prices in Stage I, and the PEVs
(followers) make their charging station selections in Stage II. We show that
there always exists a unique charging station selection equilibrium in Stage
II, and such equilibrium depends on the charging stations' service capacities
and the price difference between them. We then characterize the sufficient
conditions for the existence and uniqueness of the pricing equilibrium in Stage
I. We also develop a low complexity algorithm that efficiently computes the
pricing equilibrium and the subgame perfect equilibrium of the two-stage
Stackelberg game.Comment: 15 pages, 21 figure
Optimization Of Wireless Pricing Scheme
The wireless service providers obtain surplus fromconsumers who applied the service. That pricing strategyis developed by considering the linearity factors, elasticityprice, price factors, acceptance factor and unit serviceprice. Previous researches are focussed on the introductionof the models in general. This new approach of the modelis by considering the model as the nonlinear programmingproblem that can be solved optimally using LINGO 13.0.The optimal solution could give information on decisionvariables and objective function to maximize the revenuefor the providers. The several objectives to be achieved byservice providers are by setting the increment ordecrement of price change due to QoS change and amountof QoS value