Optimal design of a wound rotor synchronous generator using genetic algorithm

Xavier Jannot (1) , Kevin Gaudefroy (1) , Nicolas Vinel (1) , Pierre Vidal (1) , Philippe Dessante (1)

1 E3S - Supélec Sciences des Systèmes

The manufacturers are tempted to reduce the amount of active materials in the devices in order to lower the material bill. However, reducing the weight of the devices directly affects the energy efficiency. In this paper, a solution to this problem is proposed for the case of synchronous wound rotor generators. The trade-off between cost and efficiency is formulated as a constrained optimization problem and solved using a Genetic Algorithm. The cost optimization of three different machines is carried out through various design approaches. The proposed approach always gives better results than the classical approach concerning the global cost of the range.

Domains: Engineering Sciences [physics]; Electric power

Xavier Jannot, Kevin Gaudefroy, Nicolas Vinel, Pierre Vidal, Philippe Dessante. Optimal design of a wound rotor synchronous generator using genetic algorithm. ISEF 2009 - XIV International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, Sep 2009, Arras, France. 8 p. ⟨hal-00421629⟩