Transformer Design and Optimization: A Literature Survey (original) (raw)

A Review on Transformer Design and Innovative Aspects of Optimization

STM Journals, 2016

Transformer is the most costly and important component of power system. It is more than 100 years old technology. Technology has not changed drastically but the challenges are continuous increase in size and rating, competition in global market, accurate prediction of performance parameters, updating of design baseline and many more. Transformer design optimization (TDO) is a complex task in which designer have to ensure that the imposed specifications are met, while keeping manufacturing costs low. The research associated with design optimization is therefore more restricted involving different mathematical optimization methods. This paper presents review of research and development in transformer engineering and design optimization for the past 40 years based on more than 100 published papers, latest 10 transformer books and various national and international standards.

Optimal Design Of Transformer : A Compressive Bibliographical Survey

The complexity of transformer design demands reliable and rigorous solution methods. With the fast-paced changing technologies in the power industry, new references addressing new technologies are coming to the market. A survey of current research reveals the continued interest in application of advanced techniques for transformer design optimization. This paper gives a bibliographical survey and general backgrounds of research and developments in the field of transformer design and optimization for the past 38 years, based over 126 published articles, 58 transformer books. The main purpose is to provide a synthesis of the published research in this field and stimulate further research interests and efforts in the respective topics. The collected literature have been divided into many section, so that new researchers do not face any difficulty for obtaining literature particularly in the area of transformer design and optimization.

Spotlight on Modern Transformer Design

Increasing competition in the global transformer market has put tremendous responsibilities on the industry to increase reliability while reducing cost. Spotlight on Modern Transformer Design introduces a novel approach to transformer design using artificial intelligence (AI) techniques in combination with finite element method (FEM). Today, AI is widely used for modeling nonlinear and large-scale systems, especially when explicit mathematical models are difficult to obtain or completely lacking. Moreover, AI is computationally efficient in solving hard optimization problems. On the other hand, FEM is particularly capable of dealing with complex geometries, and also yields stable and accurate solutions. Many numerical examples throughout the book illustrate the application of the techniques discussed to a variety of real-life transformer design problems. Spotlight on Modern Transformer Design is a valuable learning tool for advanced undergraduate and graduate students, as well as researchers and power engineering professionals working in electric utilities and industries, public authorities, and design offices.

Aspect of Power Transformer Design and Optimization

Trends in Electrical Engineering

Transformer is one of the most important components of power system. Preliminarily it looks a simple device but from analysis and innovative point of view it is the big bank of engineering, which comprises civil, mechanical, chemical and electrical engineering. It’s the time of taking challenges and respective solution of minimizing cost of transformer without affecting customer specifications. This is only possible by design optimization process. Optimization is the process of making something better. Problems in engineering, economics and physical and social sciences entail the optimization (minimization or maximization) of an objective function subject to certain constraints (restrictions and tradeoffs). This paper deals with modern design optimization of core type power transformers. Different methods are presented to solve important transformer design problems. Keywords: Transformer design, tranmsformer design optimization(TDO), magnetic circuit, no-load losses, efficiency, sequential quadratic programming (SQP), MATLAB, TDO by iterative method Cite this Article Chirag Parekh, Chetan Kotwal, Hiral Upadhyay. Aspect of Power Transformer Design and Optimization. Trends in Electrical Engineering. 2017; 7(1): 8–18p.

OPTIMIZATION ASPECTS OF TRANSFORMER DESIGN

Master of Engineering Thesis GTU India, 2015

Looking at the development in the construction, manufacturing process, variety of materials and application of transformer, it is necessary to focus on technology of transformer design. The transformer design proposed in the current work is capable to manage with the existing complex power system network. Also, the main aim of optimization of transformer is to fulfill all the design criteria and minimizing the manufacturing cost. The optimization of transformer using various tools and methods has been discussed in the report. In dissertation phase-I, two methods for optimization in active part design were approached. First is iterative programming method and second is using optimization toolbox in MATLAB. In the first method, some design variants are created and by varying them, based on application point of view the selection of optimum design was carried out. In second method, the optimization toolbox in MATLAB gives the final value of variable which satisfies the optimum design requirements. In dissertation Phase-II, the design of tank is included in design of active part. Here, also two methods are approached for optimization of transformer for minimization of cost. Multiobjective optimization is also used by considering two objective functions as cost minimization and No-load losses minimization by Non-Dominating Sorting Genetic Algorithm-II(NSGA-II).

Innovative Aspects of Power Transformer Design Optimization

Shodh Ganga, 2017

Power transformer is the utmost important and costliest component of the power system. The design of a transformer can be optimized for its cost, no load loss, efficiency, weight, etc. However, the respective customer specifications have to be taken into account. Generally, researchers find optimum design by fixing several of the parameters. In this proposed work, besides K-factor and flux density, the geometry of winding conductor, number of axial and radial conductors and number of discs of LV as well as HV winding are also considered as design variables. The constraints are imposed on total cost, load loss, percentage impedance, efficiency, Winding Gradient, Tank deflections and no load loss. As the numbers of design variables are twelve, the problem cannot be solved by traditional optimization methods. So, Genetic Algorithm (GA), an efficient evolutionary algorithm, is used to optimize. Stray loss is extremely challenging factor while optimizing design. So 3D-FEM based analysis is carried out on same GA based transformer design. The design obtained was compared with the actual industrial design and found effective in terms of cost as well as efficiency. This work comprises the excel based software development for Transformer design as per conventional mathematical formulas, Industrial code of practice and applicable national and international standards. The optimization methods like GA,PSO,TLBO and the engineering analysis method like FEM is considered for this research work. Self-developed Binary encoded GA,PSO and TLBO is applied to drive the transformer design optimization. The multi objective optimization technique is applied for this work to conclude transformer design which has low cost and high efficiency. 15 MVA 66/11 kV transformer design data is referred to develop software based program of Transformer design and respective TDO methodology. On the base of developed TDO, the real transformer of 10 MVA 66/11 kV has been developed and tested at NABL laboratory.

Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

Periodica Polytechnica Electrical Engineering and Computer Science

Transformer design is a challenging engineering task, where the different physical fields have to be harmonized together to fulfill the implied specifications. Due to the difficulty of this task, it can be separated into several subproblems. The first subproblem, in the pre-concept phase, during the transformer design is the calculation of the cost optimal key-design parameters, where not only the technical but also the economical parameters have to be considered, as well. This subproblem belongs to the most general branch of the non-linear mathematical optimization problems. This paper presents the main directions of the evolution and trends in the power transformer design. Main directions of the considered research and the future trends in the field of preliminary design transformer optimization methods are summarized.

A Review of Intelligent Based Optimization Techniques in Power Transformer Design

One of the major components of power system which reliability depends on is the transformer which plays major role in power generation, transmission and distribution system. The voltage transformation of any transformer is dependent on the complexity of the design. However, with the fast-paced changing technologies in the power industry, new references addressing new technologies that satisfy constraints imposed on international standards, low weight, small size and good performances for economic viability are coming to the market. Current research of transformer design reveals the continued interest in the use of intelligent techniques for transformer design optimization. This paper gives a bibliographical study and general backgrounds of research and developments in the field of transformer design and optimization using intelligent based techniques for the past 42 years, based on over 80 published articles. The benefit of this work is to provide reference point for educational dev...