Real-Time Modeling and Control of a Cyber-Physical Energy System

Marco Luigi Della Vedova, Tullio Facchinetti

Risultato della ricerca: Contributo in libroContributo a convegno

Abstract

this paper introduces an approach for applying real-time scheduling techniques to balance electric loads in cyber-physical energy systems. The proposed methodology aims to determine, guarantee and optimize an upper bound on the peak load of electric power, which represents a desirable feature for both the electricity supplier and the user of the electrical system. For this purpose, networked electric devices are modeled using parameters derived from the real-time scheduling discipline used for computing systems. Therefore, the upper bound can be enforced by predictably and timely switching on/off the electric devices composing the electrical system. The paper contribution include: the illustration of the relevance of electric load balancing in cyber-physical energy systems, motivating the use of real-time scheduling techniques to achieve predictability of electric loads scheduling; the presentation of a novel and powerful modeling methodology of the physical system based on a set of periodically activated loads, to enable the use of traditional real-time system models and scheduling algorithms, with adequate adaptations, to man- age loads activation/deactivation. We finally derive interesting properties of real-time parameters and provide theoretical results concerning the computation of their values.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of First International Workshop on Energy Aware Design and Analysis of Cyber Physical Systems (WEA-CPS) 2010
Pagine10-16
Numero di pagine7
Stato di pubblicazionePubblicato - 2010
EventoFirst International Workshop on Energy Aware Design and Analysis of Cyber Physical Systems (WEA-CPS) 2010 - Stoccolma
Durata: 12 apr 201012 apr 2010

Convegno

ConvegnoFirst International Workshop on Energy Aware Design and Analysis of Cyber Physical Systems (WEA-CPS) 2010
CittàStoccolma
Periodo12/4/1012/4/10

Keywords

  • Demand-side management
  • ELECTRIC LOAD MANAGEMENT
  • ENERGY EFFICIENCY
  • REAL TIME SYSTEMS

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