  With the proliferation of distributed energy resources and the volume of data
stored due to advancement in metering infrastructure, energy management in
power system operation needs distributed computing. In this paper, we propose a
fully distributed Alternating Direction Method of Multipliers (ADMM) algorithm
to solve the distributed economic dispatch (ED) problem, where the optimization
problem is fully decomposed between participating agents. In our proposed
framework, each agent estimates the dual variable and the average of the total
power mismatch of the network using dynamic average consensus, which replaces
the dual updater in the traditional ADMM with a distributed alternative. Unlike
other distributed ADMM, the proposed method does not rely on any specific
assumption and captures the real-time demand change. The algorithm is validated
successfully via case studies for IEEE 30-bus and 300-bus test systems with the
penetration of solar photovoltaic.
