title: A performance-oriented power transformer design methodology using multi-objective evolutionary optimization.
abstract: Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transformer design methodology using multi-objective evolutionary optimization is proposed. Using this methodology, which is tailored to be target performance design-oriented, quick rough estimation of transformer design specifics may be inferred. Testing of the suggested approach revealed significant qualitative and quantitative match with measured design and performance values. Details of the proposed methodology as well as sample design results are reported in the paper.
authors.affiliation: Electrical Power and Machines Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.
authors.forename: Amr A
authors.initials: AA
authors.lastname: Adly
authors.affiliation: Engineering Mathematics Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.
authors.forename: Salwa K
authors.initials: SK
authors.lastname: Abd-El-Hafiz
keywords: Design; Multi-objective evolutionary optimization; Particle swarm optimization; Power transformers