A Mathematical Modelling and Behaviour Simulation of a Smart Grid Cyber-Physical System

Authors

  • Elvis Tamakloe Department of Computer Engineering, Kwame Nkrumah University of Science and Technology, KNUST- Kumasi, Ghana
  • Klogo Selorm Griffith Department of Computer Engineering, Kwame Nkrumah University of Science and Technology, KNUST- Kumasi, Ghana
  • Benjamin Kommey Department of Computer Engineering, Kwame Nkrumah University of Science and Technology, KNUST- Kumasi, Ghana

DOI:

https://doi.org/10.15575/join.v9i1.1344

Keywords:

Cyber physical systems, Smart grids, Mathematical modelling, Simulation, Operational technologies

Abstract

The significant contributions of information and communication technology (ICT) and other operational technologies (OTs) or cyber networks have had a tremendous impact on the real-time monitoring, management, and control of the power or energy system facilities. Thus, the integration of these technologies into the energy grid system created a smart, complex, and interdependent system. This system is established and referred to as a smart grid cyber physical power system (SGCPPS). The performances of cyber physical systems are achieved via computation and communication and are imperatively based on a real-time feedback mechanism. In reference to the energy system, monitoring and control of the grid systems is extremely essential in ensuring efficient power supply, quality, reliability, stability and resilience among other determinants. However, their interdependence and integrated nature exposes the grid to disturbances subsequently leading to faults in the grid. Hence, failure to know the grid conditions at a particular period subjugates it to complete system collapse. This paper focused on the development of a mathematical model for a smart gird cyber physical system. Additionally, simulations were performed to study the behaviour of the Smart grid cyber-physical power system (SGCPPS) with regards to monitoring and controlling the physical systems using MATLAB Simulink tool to facilitate system awareness.

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Published

2024-05-24

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