  This paper studies the optimal energy management in a group of dwellings
having micro fuel cell combined heat and power systems. To increase the
self-sufficiency and resilience of such local community, a peer-to-peer energy
trading system between dwellings is proposed in which output powers from fuel
cells working under their rated powers can be sold to those already reach their
rated outputs but still lack powers. The arising optimization problem from this
optimal peer-to-peer energy trading system is non-convex due to the nonlinear
dependence of power and heat efficiencies on fuel cell output power. Therefore,
a linearization method is proposed to convexify the problem. Consequently, a
distributed ADMM approach is introduced to solve the convexified optimization
problem in parallel at each dwelling. A case study for a group of six dwellings
based on realistic electric consumption data is then presented to demonstrate
the proposed approach performance and positive impacts of the P2P energy
trading system. More specifically, the proposed distributed ADMM approach is
reasonably fast in convergence and is scalable well with system size. In
addition, P2P electricity trading system helps operate fuel cells at a higher
efficiency and increase the self-sufficiency of such dwellings.
