Distributed algorithm for simulating dynamic interactions within a general cyber-physical system

In this paper we exploit the structure of dynamic models for general cyber-physical systems (CPS). Key to this structure is a unifying notion of an interaction variable between components/subsystems and the neighbouring sub-systems within a multi-layered CPS. The higher-level aggregate model derived...

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Vydáno v:2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) s. 1 - 7
Hlavní autoři: Ilic, Marija, Kosanic, Miroslav
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 09.05.2023
Témata:
Capacitors
composition of complex algorithms
Cyber-physical systems
DC microgrids with constant power load
distributed algorithms
Energy dynamics
generalised reactive power in time domain
Heuristic algorithms
Numerical models
Power system dynamics
Power system stability
Reactive power
structure of cyber-physical systems (CPS)
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Shrnutí:In this paper we exploit the structure of dynamic models for general cyber-physical systems (CPS). Key to this structure is a unifying notion of an interaction variable between components/subsystems and the neighbouring sub-systems within a multi-layered CPS. The higher-level aggregate model derived in terms of unifying energy and power dynamics explicitly captures dynamic interactions of interest. In this paper this structure is utilised further to formulate a distributed interactive algorithm for simulating dynamic interactions and for aligning them according to generalised Tellegen's theorem. Proof of concept simulations are bench-marked against the centralised simulations of a simple DC circuit serving constant power load (CPL). Notably, the simulation results reflect the underlying physics and explicitly capture oscillations between neighbouring modules. This algorithm lends itself to multi-layered parallel implementation by means of minimal information exchange. As such, it supports simulating complex electric energy systems, in particular power-electronically controlled DC micro-grids, and, more generally multi-energy systems.
DOI:10.1109/MSCPES58582.2023.10123434