Title: Privacy Preserving and Collusion Resistant Energy Sharing,
Abstract: Energy has been increasingly generated or collected by different entities on
the power grid (e.g., universities, hospitals and householdes) via solar
panels, wind turbines or local generators in the past decade. With local
energy, such electricity consumers can be considered as "microgrids" which can
simulataneously generate and consume energy. Some microgrids may have excessive
energy that can be shared to other power consumers on the grid. To this end,
all the entities have to share their local private information (e.g., their
local demand, local supply and power quality data) to each other or a
third-party to find and implement the optimal energy sharing solution. However,
such process is constrained by privacy concerns raised by the microgrids. In
this paper, we propose a privacy preserving scheme for all the microgrids which
can securely implement their energy sharing against both semi-honest and
colluding adversaries. The proposed approach includes two secure communication
protocols that can ensure quantified privacy leakage and handle collusions.