Load allocation problem for optimal design of aircraft electrical power system

Xavier Giraud (1) , Marc Sartor (2) , Xavier Roboam (3) , Bruno Sareni (3) , Hubert Piquet (3) , Marc Budinger (2) , Sébastien Vial (1)

1 Airbus [France]
2 ICA - Institut Clément Ader
3 LAPLACE-GENESYS - Groupe ENergie Electrique et SYStémique

More and more electric systems are embedded in today aircraft. As a result, the complexity of electrical power system design is increasing and the need of generic and efficient design methods is today required. Among numerous design tasks, the allocation of electric systems on the busbars of the electrical power system is considered as an important one since it has a direct impact on the aircraft mass. But due to the high number of possible allocations and regarding the large diversity of potential sizing cases for the equipments, finding the optimal allocation of electric loads is a hard task. In this paper, the problem is formalized mathematically. Then, four stochastic optimization methods are assessed on complex load allocation problems. Based on this assessment, a genetic algorithm using niching method is considered as the most appropriate algorithm for solving this aircraft design problem

Mots clés: Electrical power system; Inverse problem; Niching genetic algorithm; Operational research problems; Optimal design; Electrical power system

Domaines: Systèmes embarqués; Autre

Xavier Giraud, Marc Sartor, Xavier Roboam, Bruno Sareni, Hubert Piquet, et al.. Load allocation problem for optimal design of aircraft electrical power system. International Journal of Applied Electromagnetics and Mechanics, 2013, 43 (1-2), pp.1-13. ⟨10.3233/JAE-131708⟩. ⟨hal-03523348⟩