Wind Turbine Transformer Optimum Design Assuming a 3D Wound Core

Subject Areas : International Journal of Smart Electrical Engineering

Pedram Elhaminia ¹ , Ahmad Moradnouri ² , Mehdi Vakilian ³

1 - Center of Excellence in Power System Management and Control, Electrical Engineering Department, Sharif University, Tehran, Iran
2 - Center of Excellence in Power System Management and Control, Electrical Engineering Department, Sharif University, Tehran, Iran
3 - Center of Excellence in Power System Management and Control, Electrical Engineering Department, Sharif University, Tehran, Iran

Received: 2015-12-25 Accepted : 2015-12-25 Published : 2014-09-01

Keywords: <Wind turbine transformer (WTT), 3D wound core, total owning cost (TOC), Inrush current, Multi-objective genetic algorithm, Pareto optimal solutions>,

Abstract :

A wind turbine transformer (WTT) is designed using a 3D wound core while the transformer’s total owning cost (TOC) and its inrush current performance realized as the two objective functions in a multi-objective optimization process. Multi-objective genetic algorithm is utilized to derive Pareto optimal solutions. The effects of inrush current improvement on other operating and design parameters of the transformer such as: losses, dimensions, and weights are investigated. An approach is presented to select one design from optimal Pareto solutions based on relative improvement of the inrush current performance. Finally, this multi-objective optimum wind turbine transformer design is compared with an optimum transformer design obtained when just TOC is the objective function.