PROJECT TITLE:

A Micro-Grid Distributed Intelligent Control and Management System

ABSTRACT:

Micro-grids need active management to take care of quality of service and to interface with the power grid in an exceedingly bi-directional manner. Any, micro-grids must be justified by environmental, governmental, and economic viability. We have a tendency to present a programmable architecture for active, optimal distributed control of components of the grid to attain desired behavior. A unique aspect of this design is to incorporate a distributed inductive engine for learning the local dynamics of generators and masses in the micro-grid. It generates feedback laws that are tailored to the present status of the micro-grid, and responds to anomalous events in a very resilient manner. An necessary novelty is that management laws are extracted on-line for bidirectional discontinuous nonlinear hundreds by mean field strategies from physics outside the standard design methodologies for piecewise linear quadratic controls.


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