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Accueil > Groupes de Recherche > Groupe Energie Electrique et Systémique

Axis 1 : Systems-oriented Methodologies

par Bruno Sareni, David Bonnafous - publié le , mis à jour le

Systems-oriented methodologies for facing complexity in electrical systems

Involved researchers  : Bruno Sareni, Xavier Roboam

  • Objectives

This axis aims at developing design approaches which sequentially or simultaneouly integrate the following characteristics of the systems :

- The architecture : the topolgy related to the system or subsystems, the nature of the components (e.g. type of storage elements) and type of technologies associated with the system components.

- The sizing  : the component and system scaling at geometrical and energy levels

- The energy management  : the planing strategies related to the power flows to be controled inside the system

- The environment  : the external variables conditioning the system behavior (e.g. temperature, pressure, wind or solar potential) whose characteristic are by nature fluctuating and stochastic, but also the mission to be satisfied (typically the load profile to be fulfilled)

  • Main issue

A global and integrated design approach taking all couplings and previous system features into account usually results in a high level of complexity requiring the development of systems-oriented methodogies. This complexity occurs at different levels :

- « Static complexity », related to the number of system components and associated sizing, the number of disciplines that should be considered.This level of complexity also includes the heterogeneity of system objectives and constraints to be integrated into the design process : energy efficiency, mass or volume reduction, safety, reliability, lifecycle, environment impacts, economic cost.

- « Dynamic Complexity », related to the number and heterogeneity of the time constants in the system from :

* fast electrical modes (less than 1 second up to several minutes) impacting the system control and the energy storage components such as batteries or inertia wheels.

* « electro-matter » modes (from a few hours up to several days) impacting matter transfert (watter or H2) in massive storage devices such as Redox Flow batteries or pumped storage power stations.

* « environmental and aging » modes (from a few days up to multiple months) related to the slow dynamics regarding the system environment (e.g. day cycles, seasonal variations associated with solar irradiation or wind potential) and the aging of the system components.

- « computational complexity », related to the increase of computational times especially in the context of optimization approaches requiring multiple system simulations taking the multiscaled dynamics into account over the system mission. This computational complexity is also directly linked to the complexity of the models usually with several levels of representation impacting the time/accuracy tradeoff.

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  • Ongoing Studies

The studied methodologies aims at facing the increase of complexity in today electrical engineering applications. They especially involve :

- Multidisciplinary Design Optimization approaches which are explored for structuring the design phases into multiple hierachical levels in order to take account of couplings between components and disciplines.

- Robust Design approaches for ensuring the system robustness with regard to uncertainties (incertainties related to the probabilistic variables in the system or with the accuracy of the models).

- Analysis and processing of the environment variables for their integration into the system design process.

- Identification techniques for building or analyzing complex physical models of system components (Fuel Cells/Electrolyzers or plasma processes).