Pricing parameter design for electric vehicle charging
C Santoyo, S. Coogan
IEEE Conference on Control Technology and Applications, 2021
Abstract
Pricing models implemented at electric vehicle (EV) charging facilities provide facility operators a means to achieve desirable system-level behavior. Furthermore, a charging facility must meet resource constraints with high levels of confidence. To achieve this, a charging facility operator can tune the pricing model parameters such that resource constraints are met with high confidence. In this paper, we propose an approximate chance-constrained optimization program that enables charging facility operators to set the pricing model parameters in an anticipatory, rather than a reactionary, manner. We present a problem formulation based on two previously developed pricing models and present results from a numerical case study for setting the respective pricing model parameters.
This research was funded in part by the National Science Foundation under Grant 1931980.