PROJECT TITLE :

Distributed Optimal Energy Management in Microgrids

ABSTRACT:

Energy management in microgrids is typically formulated as a nonlinear optimization downside. Solving it during a centralized manner does not solely require high computational capabilities at the microgrid central controller (MGCC), however could additionally infringe client privacy. Existing distributed approaches, on the opposite hand, assume that all generations and masses are connected to at least one bus, and ignore the underlying power distribution network and the associated power flow and system operational constraints. Consequently, the schedules created by those algorithms could violate those constraints and thus aren't feasible in practice. So, the main focus of this paper is on the planning of a distributed energy management strategy (EMS) for the optimal operation of microgrids with consideration of the distribution network and therefore the associated constraints. Specifically, we formulate microgrid energy management as an optimal power flow drawback, and propose a distributed EMS where the MGCC and the local controllers jointly compute an optimal schedule. We have a tendency to conjointly give an implementation of the proposed distributed EMS primarily based on IEC 61850. As one demonstration, we tend to apply the proposed distributed EMS to a true microgrid in Guangdong Province, China, consisting of photovoltaics, wind turbines, diesel generators, and a battery energy storage system. The simulation results demonstrate the effectiveness and quick convergence of the proposed distributed EMS.