Designing an intelligent low power residential PV-based Microgrid

Abstract

In this work a bi-level (Supervisory-Local) PV-based Microgrid configuration is proposed for low power residential applications. In the supervisory level a long-term control scheme is assigned to define the set points for local controllers. The local level is mainly formed from a set of controllers which are basically responsible to control the power electronic interfaces and converters. Within the supervisory level a dynamic price scheduling framework with load and solar energy forecasting is implemented using time series-based regression technique. In the local level, adaptive double mode controllers are developed to realize intelligent inverters with smart grid-tied (GT) capabilities and smooth transition between GT and stand-alone modes. The effectiveness of the proposed architecture is examined using simulation in PSIM software. Next, hardware in the loop is implemented using the real time simulator OPAL-RT with DSP module as a controller for a board range of conditions and within different practical scenarios.