There is an increasing interest and research effort focused on the analysis, design and
implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is …

In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

Networked microgrids (NMGs) provide a promising solution for accommodating various
distributed energy resources (DERs) and enhancing the system performance in terms of …

With the sustained deployment of distributed generation capacities and the more proactive
role of consumers, power systems and their operation are drifting away from a conventional …

In decentralized optimization, nodes cooperate to minimize an overall objective function that
is the sum (or average) of per-node private objective functions. Algorithms interleave local …

In this paper, we mainly review the topics in consensus and coordination of multi-agent
systems, which have received a tremendous surge of interest and progressed rapidly in the …

The increasing integration of the distributed renewable energy sources highlights the
requirement to design various control strategies for microgrids (MGs) and microgrid clusters …

We analyze Local SGD (aka parallel or federated SGD) and Minibatch SGD in the
heterogeneous distributed setting, where each machine has access to stochastic gradient …

We study nonconvex distributed optimization in multiagent networks with time-varying
(nonsymmetric) connectivity. We introduce the first algorithmic framework for the distributed …

In this paper, we study the problem of distributed multi-agent optimization over a network,
where each agent possesses a local cost function that is smooth and strongly convex. The …