Affiliations: [a] Airbus Operation SAS, Toulouse, France | [b] Université de Toulouse, Institut Clément
Ader (INSA, UPS, Mines Albi, ISAE), Toulouse, France | [c] Université de Toulouse, LAPLACE
(CNRS/INPT/UPS), Toulouse, France
Correspondence:
[*]
Corresponding authors: X. Giraud, Airbus Operation SAS, 316
route de Bayonne, 31060 Toulouse Cedex 9, France. E-mail:
xavier.giraud@airbus.com; M. Sartor, INSA Toulouse, 135 avenue de Rangueil,
31077, Toulouse cedex 4, France. E-mail: marc.sartor@insa-toulouse.fr
Abstract: 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.
Keywords: Electrical power system, inverse problem, niching genetic algorithm, operational research problems, optimal design
