Modelling and Development of Energy Systems Through Cyber Physical Systems With Optimising Interconnected With Control and Sensing Parameters

Abstract

The integration of cyber-physical systems (CPS) with energy infrastructure has the potential to revolutionise the way we generate, distribute and consume energy. CPS enables the monitoring and control of energy systems in real-time, and allows for the integration of renewable energy sources and energy storage management. This research aims to explore the use of CPS in the design and development of a housing microgrid, with a focus on optimising interconnected energy systems and controlling and sensing parameters. To accomplish this, the authors propose a model-based design (MBD) approach, which uses simulation tools to create and test numerous control procedures for a housing microgrid. The imitation tool, GridMat, is a MATLAB/Simulink toolkit that can co-simulate control techniques written in Simulink and power systems modelled in GridLAB-D. This research demonstrates how GridMat can create, simulate, debug, and evaluate multiple layers of control algorithms for a residential microgrid.