This paper presents a novel intelligent energy management system (IEMS) for a DC microgrid connected to the public utility (PU), photovoltaic (PV) and multi-battery bank (BB). The control objectives of the proposed IEMS system are: (i) to ensure the load sharing (according to the source capacity) among sources, (ii) to reduce the power loss (high efficient) in the system, and (iii) to enhance t...

This research addresses distributed proportional power sharing of inverter-based Distributed Generators (DGs) in microgrids under variations maximum capacity DGs. A microgrid can include renewable energy resources such as wind turbines, solar panels, fuel cells, etc. The intermittent nature causes their capacities. Since DGs be regarded Multi-Agent-Systems (MASs), a consensus algorithm is desig...

We consider a distributed optimal power flow formulated as an optimization problem that maximizes nondifferentiable concave function. Solving such by the existing algorithms can lead to data privacy issues because solution information exchanged within be utilized adversary infer data. To preserve privacy, in this paper we propose differentially private projected subgradient (DP-PS) algorithm in...