FEM Based Preliminary Design Optimization in Case of Large Power Transformers
Open Access
- 17 February 2020
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 10 (4), 1361
- https://doi.org/10.3390/app10041361
Abstract
Since large power transformers are custom-made, and their design process is a labor-intensive task, their design process is split into different parts. In tendering, the price calculation is based on the preliminary design of the transformer. Due to the complexity of this task, it belongs to the most general branch of discrete, non-linear mathematical optimization problems. Most of the published algorithms are using a copper filling factor based winding model to calculate the main dimensions of the transformer during this first, preliminary design step. Therefore, these cost optimization methods are not considering the detailed winding layout and the conductor dimensions. However, the knowledge of the exact conductor dimensions is essential to calculate the thermal behaviour of the windings and make a more accurate stray loss calculation. The paper presents a novel, evolutionary algorithm-based transformer optimization method which can determine the optimal conductor shape for the windings during this examined preliminary design stage. The accuracy of the presented FEM method was tested on an existing transformer design. Then the results of the proposed optimization method have been compared with a validated transformer design optimization algorithm.This publication has 24 references indexed in Scilit:
- Metaheuristic Optimization Preliminary Design Process of Core-Form AutotransformersIEEE Transactions on Magnetics, 2015
- Multi-field Dual-Mixed Variational Principles Using Non-symmetric Stress Field in Linear ElastodynamicsJournal of Elasticity, 2015
- Analysis of the Green Power Transition on Optimal Power Transformer DesignsPeriodica Polytechnica Electrical Engineering and Computer Science, 2015
- Numerical solution of coupled problems using code Agros2DComputing, 2013
- Multi‐objective optimisation and multi‐criteria decision making in SLS using evolutionary approachesRapid Prototyping Journal, 2011
- Complete Software Package for Transformer Design Optimization and Economic Evaluation AnalysisMaterials Science Forum, 2010
- Recursive genetic algorithm-finite element method technique for the solution of transformer manufacturing cost minimisation problemIET Electric Power Applications, 2009
- A tutorial on geometric programmingOptimization and Engineering, 2007
- A multiobjective evolutionary algorithm for approximating the efficient setEuropean Journal of Operational Research, 2007
- A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Transactions on Evolutionary Computation, 2002