  The increasing uptake of distributed energy resources (DERs) in smart home
prosumers calls for distributed energy management strategies, and the advances
in information and communications technology enable peer-to-peer (P2P) energy
trading and transactive energy management. Many works attempted to solve the
transactive energy management problem using distributed optimization to
preserve the privacy of DERs' operations. But such distributed optimization
requires information exchange among prosumers, often via synchronous
communications, which can be unrealistic in practice. This paper addresses a
transactive energy trading problem for multiple smart home prosumers with
rooftop solar, battery storage, and controllable load, such as heating,
ventilation, and air-conditioning (HVAC) units, considering practical
communication conditions. We formulate a network-aware energy trading
optimization problem, in which a local network operator manages the network
constraints supporting bidirectional energy flows. We develop an asynchronous
distributed alternating direction method of multipliers (ADMM) algorithm to
solve the problem under asynchronous communications, allowing communication
delay and indicating a higher potential for real-world applications. We
validate our design by simulations using real-world data. The results
demonstrate the convergence of our developed asynchronous distributed ADMM
algorithm and show that energy trading reduces the energy cost for smart home
prosumers.
