Open AccessLoad allocation problem for optimal design of aircraft electrical power system
Author(s) -
X. Giraud,
Marc Sartor,
Xavier Roboam,
Bruno Sareni,
Hubert Piquet,
Marc Budinger,
Sebastien Vial
Publication year - 2013
Publication title -
international journal of applied electromagnetics and mechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.239
H-Index - 30
eISSN - 1875-8800
pISSN - 1383-5416
DOI - 10.3233/jae-131708
Subject(s) - sizing , electric power system , genetic algorithm , computer science , mathematical optimization , optimal allocation , electric power , power (physics) , task (project management) , optimal design , electrical load , optimization problem , reliability engineering , engineering , voltage , systems engineering , algorithm , electrical engineering , mathematics , machine learning , visual arts , art , physics , quantum mechanics
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 proble
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom