TITLE:
V2V Energy Trading Considering User Satisfaction under Low-Carbon Objectives via Bayesian Game
AUTHORS:
Yue Yu, Yu Liu, Xiang Feng, Huaichao Wen
KEYWORDS:
Multi Electric Vehicles, Multi Microgrid, Energy Trading, Bayesian Game, Multi Party Game, Network Constraints
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.11 No.12,
December
12,
2023
ABSTRACT: In response to the additional load impact caused by the integration of
electric vehicles (EVs) into the grid or microgrids (MGs), as well as the issue
of low responsiveness of EV users during vehicle-to-vehicle (V2V) power
exchange processes, this paper explores a multi-party energy trading model
considering user responsiveness under low carbon goals. The model takes into account
the stochastic charging and discharging characteristics of EVs, user
satisfaction, and energy exchange costs, and formulates utility functions for
participating entities. This transforms the competition in multi-party energy
trading into a Bayesian game problem, which is subsequently resolved. Furthermore,
this paper primarily employs sensitivity analysis to evaluate the impact of
multi-party energy trading on user responsiveness and green energy utilization,
with the aim of promoting incentives in the electricity trading market and
aligning with low-carbon requirements. Finally, through case simulations, the
effectiveness of this model for the considered scenarios is demonstrated.