Multiobjective Optimization Techniques Applied to Three-Phase Transformers Designs

2022 ◽  
Vol 20 (3) ◽  
pp. 386-394
Author(s):  
Adelicio Maximiano Sobrinho ◽  
Jose Roberto Camacho ◽  
Rafael Lima de Carvalho ◽  
Sergio Manuel Rivera Sanhueza ◽  
Stefani Carolline Leal de Freitas
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Techniques ◽  
Three Phase

Structural Configuration Examples of an Integrated Optimal Design Process

1994 ◽  
Vol 116 (4) ◽  
pp. 997-1004 ◽  
Author(s):  
M. Chirehdast ◽  
H.-C. Gea ◽  
N. Kikuchi ◽  
P. Y. Papalambros
Keyword(s):  
Structural Optimization ◽  
Design Process ◽  
Homogenization Method ◽  
Optimization Techniques ◽  
Phase Iii ◽  
Design Problems ◽  
Novel Approach ◽  
Three Phase ◽  
Bicycle Frame ◽  
Automated Procedures

Structural optimization procedures usually start from a given design topology and vary proportions or boundary shapes of the design to achieve optimality of an objective under various constraints. This article presents examples of the application of a novel approach for initiating formal structural optimization at an earlier stage, where the design topology is rigorously generated. A three-phase design process is used. In Phase I, an optimal initial topology is created by a homogenization method as a gray-scale image. In Phase II, the image is transformed to a realizable design using computer vision techniques. In Phase III, the design is parameterized and treated in detail by conventional size and shape optimization techniques. Fully-automated procedures for optimization of two-dimensional solid structures are outlined, and several practical design problems for this type of structures are solved using the proposed procedure, including a crane hook and a bicycle frame.

scholarly journals Power Conversion Techniques Using Multi-Phase Transformer: Configurations, Applications, Issues and Recommendations

Machines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Md Tabrez ◽  
Pradip Kumar Sadhu ◽  
Molla Shahadat Hossain Lipu ◽  
Atif Iqbal ◽  
Mohammed Aslam Husain ◽  
...  
Keyword(s):  
Power Generation ◽  
Transformation Method ◽  
Sine Wave ◽  
Fault Analysis ◽  
Optimization Techniques ◽  
Phase System ◽  
Voltage Unbalance ◽  
Three Phase ◽  
Phase Systems ◽  
Multi Phase

Recently, the superiority of multi-phase systems in comparison to three-phase energy systems has been demonstrated with regards to power generation, transmission, distribution, and utilization in particular. Generally, two techniques, specifically semiconductor converter and special transformers (static and passive transformation) have been commonly employed for power generation by utilizing multi-phase systems from the available three-phase power system. The generation of multi-phase power at a fixed frequency by utilizing the static transformation method presents certain advantages compared to semiconductor converters such as reliability, cost-effectiveness, efficiency, and lower total harmonics distortion (THD). Multi-phase transformers are essential to evaluate the parameters of a multi-phase motor, as they require a multi-phase signal that is pure sine wave in nature. However, multi-phase transformers are not suitable for variable frequency applications. Moreover, they have shortcomings with regard to impedance mismatching, the unequal number of turns which lead to inaccurate results in per phase equivalent circuits, which results in an imbalance output in phase voltages and currents. Therefore, this paper aims to investigate multi-phase power transformation from a three-phase system and examine the different static multi-phase transformation techniques. In line with this matter, this study outlines various theories and configurations of transformers, including three-phase to five-, seven-, eleven-, and thirteen-phase transformers. Moreover, the review discusses impedance mismatching, voltage unbalance, and per phase equivalent circuit modeling and fault analysis in multi-phase systems. Moreover, various artificial intelligence-based optimization techniques such as particle swarm optimization (PSO) and the genetic algorithm (GA) are explored to address various existing issues. Finally, the review delivers effective future suggestions that would serve as valuable opportunities, guidelines, and directions for power engineers, industries, and decision-makers to further research on multi-phase transformer improvements towards sustainable operation and management.

scholarly journals Using a Product’s Sustainability Space as a Design Exploration Tool

2019 ◽  
Vol 5 ◽  
Author(s):  
Christopher A. Mattson ◽  
Andrew T. Pack ◽  
Vicky Lofthouse ◽  
Tracy Bhamra
Keyword(s):  
Multiobjective Optimization ◽  
Environmental Sustainability ◽  
Social Sustainability ◽  
Optimization Techniques ◽  
Decision Makers ◽  
Alternative View ◽  
Water Wells ◽  
Sustainable Product Development ◽  
Exploration Tool ◽  
Sustainable Product

Sustainable design is often practiced and assessed through the consideration of three essential areas: economic sustainability, environmental sustainability, and social sustainability. For even the simplest of products, the complexities of these three areas and their tradeoffs cause decision-making transparency to be lost in most practical situations. The existing field of multiobjective optimization offers a natural framework to define and explore a given design space. In this paper, a method for defining a product’s sustainability space (defined by economic, environmental, and social sustainability objectives) is outlined and used to explore the tradeoffs within the space, thus offering both the design team and the decision makers a means of better understanding the sustainability tradeoffs. This paper concludes that sustainable product development can indeed benefit from tradeoff characterization using multiobjective optimization techniques – even when using only basic models of sustainability. Interestingly, the unique characteristics of the three essential sustainable development areas lead to an alternative view of some traditional multiobjective optimization concepts, such as weak-Pareto optimality. The sustainable redesign of a machine to drill boreholes for water wells is presented as a practical example for method demonstration and discussion.

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