A fuzzy supervisory control for induction machines operating from a DC Microgrid

Microgrids (MG) are an operative solution to the integration of Distributed Energy Resources (DER) with Electrical Industrial Systems (EIS) supplying some part of the power consumption demanded in the system, and providing high reliability with reduction of distribution losses. Induction motors and Adjustable Speed Drivers (ASD) are vital in all kind of industrial processes based on their multiple applications. This document proposes a fuzzy supervisory control for a DC industrial Micro-grid which involves three phase induction motors in its automation processes and Renewable Energy Sources (RES). Two control layers are presented, the lower layer adjusts the local/individual speed set points in each motor under different torque loads and the upper layer coordinates or synchronises all the motors, which is a priority in EIS. The design of the local controller and the global control law are presented in detail based on two study industry cases. Load regulation tests under disturbances demonstrate the well supervisory controller response and performance.