scholarly journals Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods

2019 ◽  
Vol 63 (1) ◽  
pp. 37-50 ◽  
Author(s):  
Tamás Orosz
Keyword(s):  
Optimization Problems ◽  
Power Transformer ◽  
Cost Optimization ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Design Parameters ◽  
Preliminary Design ◽  
Transformer Design ◽  
Physical Fields ◽  
The Cost

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.

scholarly journals Non-linear Impact of the Short Circuit Impedance Selection on the Cost Optimized Power Transformer Design

2020 ◽  
Vol 64 (3) ◽  
pp. 221-228
Author(s):  
Tamás Orosz ◽  
Zoltán Ádám Tamus
Keyword(s):  
Design Process ◽  
Power Transformer ◽  
Short Circuit ◽  
Design Rule ◽  
Design Parameters ◽  
Electrical Machine ◽  
Preliminary Design ◽  
Large Power ◽  
Final Design ◽  
The Cost

Since the electrical machine design is a complex task it can be divided into sub-problems, e.g. preliminary and final design processes and checking of the final design. This paper deals with the preliminary design process, which provides the key-design parameters of the electrical machine. Traditionally, these electrical machine models in preliminary design phase neglect or use oversimplified insulation system models and the tap changing selection is not involved during the calculation of key-design parameters. The aim of this study is to assess the effect of the insulation distance minimization and tap-changing on the key design parameters of a cost-optimized large power transformer. For this purpose, the paper shows some examples, where the cost optimal design — in contrast to the classical insulation design rule — contains larger insulation distances than the possible minimum values. The effect of tap-changing methods are also investigated. These cost optimization made by a verified, metaheuristic method-based transformer optimization algorithm. The results show involving the insulation design and tap-changing selection into the preliminary design process can provide more economical designs.

scholarly journals Impact of the Cooling Equipment on the Key Design Parameters of a Core–Form Power Transformer

2016 ◽  
Vol 67 (6) ◽  
pp. 399-406
Author(s):  
Tamás Orosz ◽  
Zoltán Ádám Tamus
Keyword(s):  
Power Transformer ◽  
Short Circuit ◽  
Design Parameters ◽  
Significant Difference ◽  
Previous Algorithm ◽  
Transformer Design ◽  
New Variables ◽  
The Cost ◽  
Mathematical Optimisation ◽  
The Impact

Abstract The first step in the transformer design process is to find the active part’s key design parameters. This is a non-linear mathematical optimisation task, which becomes more complex if the economic conditions are considered by the capitalisation of the losses. Geometric programming combined with the method of branch and bound can be an effective and accurate tool for this task even in the case of core-form power transformers, when formulating the short-circuit impedance in the required form is problematic. Most of the preliminary design methods consider only the active part of the transformer and the capitalised costs in order to determine the optimal key design parameters. In this paper, an extension of this meta-heuristic transformer optimisation model, which takes the cost of the insulating oil and the cooling equipment into consideration, is presented. Moreover, the impact of the new variables on the optimal key design parameters of a transformer design is examined and compared with the previous algorithm in two different economic scenarios. Significant difference can be found between the optimal set of key-design parameters if these new factors are considered.

scholarly journals FEM Based Preliminary Design Optimization in Case of Large Power Transformers

2019 ◽  
Author(s):  
Tamás Orosz ◽  
David Pánek ◽  
Pavel Karban
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Optimization Problems ◽  
Optimization Method ◽  
Power Transformers ◽  
Design Stage ◽  
Preliminary Design ◽  
Large Power ◽  
Custom Made ◽  
Transformer Design

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.

Validation of the Index to Determine Design Parameters of a WEC for the Cost Optimization of a Wave Farm

2015 ◽  
Author(s):  
Takashi Okamoto ◽  
Yutaro Fukaya ◽  
Yasushi Higo
Keyword(s):  
Cost Optimization ◽  
Energy Conversion Efficiency ◽  
The Body ◽  
Farm Size ◽  
Design Parameters ◽  
Parameter Combination ◽  
Index Value ◽  
The Cost ◽  
Validation Tests ◽  
Wave Farm

An index to estimate the cost of electricity (COE) generated by a wave farm from the design parameters of a wave energy converter (WEC), such as the body size and the generator capacity, was examined to show the validity of index value in this study. The validation tests are performed for three different wave farm settings at three different locations. The result displays the potential of index to capture the trend of COE value especially when the wave farm size is small. The calculation result of COE reveals that the parameter combination to give better profitability is determined by the balance between WEC construction fee and installation fee. So, it would be different from the optimum size to have the best energy conversion efficiency. It also explains the shift of parameter combination to give the better profitability when the size of wave farm is changed. However, the index contains certain level of error because of the lack of this feature. Therefore, the error becomes larger when the size of wave farm becomes larger. As a result, it was found that the modification of the index is needed to improve the accuracy by including the cost related to the number of buoys in the wave farm.

Reliability Based Design Optimization for Selective Excitation of the Vibration Modes of a Cantilever Spring

2012 ◽  
Vol 498 ◽  
pp. 102-114
Author(s):  
Khalil El-Hami ◽  
Abdelkhalak El Hami
Keyword(s):  
Cantilever Beam ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Design Parameters ◽  
Optimization Strategy ◽  
High Dimensions ◽  
Engineering Structures ◽  
Reliability Based Design ◽  
Piezoelectric Polymer ◽  
Reliability Based Optimization

This paper is devoted to procedures for the reliability-based optimization methods of engineering structures combining measurement and sensitivity technique, for the purpose of the better sensitivity in force-gradient detection. In the experiment part of this study, the mica muscovite cantilever beam clamped-free is used. The excitation of a cantilever beam with several small sheets of piezoelectric polymer adequately glued to it selects one high-frequency vibration mode of the cantilever. The proposed strategy is design into a framework that allows the solution of optimization problems involving a several number of design parameters that characterizes the systems, including dimensional tolerance, material properties, boundary conditions, loads, and model predictions, considered to be uncertainties or variables. The proposed methodology directly supports quality engineering aspects enabling to specify the manufacturing tolerances normally required to achieve desired product reliability. Within this context, the robust design obtained is optimal over the range of variable conditions because it considers uncertainties during the optimization process. The large number of exact evaluations of problem, combined with the typically high dimensions of FE models of industrial structures, makes reliability-based optimization procedures very costly, sometimes unfeasible. Those difficulties motivate the study reported in this paper, in which a strategy is proposed consisting in the use of reliability-based optimization strategy combined with measurement and sensitivity technique specially adapted to the structures of industrial interested.

scholarly journals Optimization Methods for Electric Power Systems: An Overview

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
R. C. Bansal
Keyword(s):  
Artificial Intelligence ◽  
Power Systems ◽  
Electric Power ◽  
Power Optimization ◽  
Optimization Problems ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Electric Power Systems ◽  
Unexpected Events ◽  
Large Complex

Power systems optimization problems are very difficult to solve because power systems are very large, complex, geographically widely distributed and are influenced by many unexpected events. It is therefore necessary to employ most efficient optimization methods to take full advantages in simplifying the formulation and implementation of the problem. This article presents an overview of important mathematical optimization and artificial intelligence (AI) techniques used in power optimization problems. Applications of hybrid AI techniques have also been discussed in this article.

scholarly journals A method for selection of parameters of ship propulsion system fitted with compromise screw propeller

2007 ◽  
Vol 14 (4) ◽  
pp. 3-6 ◽  
Author(s):  
Jan Michalski
Keyword(s):  
Optimization Problems ◽  
Mathematical Optimization ◽  
Stage Structure ◽  
Propulsion System ◽  
Design Stage ◽  
Design Parameters ◽  
Inland Waterways ◽  
Ship Propulsion ◽  
Screw Propeller ◽  
Selection Of

A method for selection of parameters of ship propulsion system fitted with compromise screw propeller This paper concerns an algorithmic method for preliminary selection of parameters of ship propulsion system fitted with fixed screw propeller in the case when the ship's operation is associated with significant changes of waterway depth and width, hull resistance of the ship and its service speed. Mathematical model arguments of the considered design problem are main ship design parameters identified in the preliminary design stage. Structure of the formulated model complies with formal requirements for continuous- discrete mathematical optimization problems. The presented examples of application of the method concern an inland waterways ship fitted with compromise screw propeller optimized in the sense of minimization of fuel consumption for passing a given route distance within a given time. The elaborated method may be especially useful in designing such ships as: coasters, inland waterways ships, tugs, pushers, trawlers, mine sweepers, icebreakers etc.

scholarly journals FEM Based Preliminary Design Optimization in Case of Large Power Transformers

2020 ◽  
Vol 10 (4) ◽  
pp. 1361
Author(s):  
Tamás Orosz ◽  
David Pánek ◽  
Pavel Karban
Keyword(s):  
Design Optimization ◽  
Design Process ◽  
Optimization Problems ◽  
Optimization Method ◽  
Power Transformers ◽  
Design Stage ◽  
Preliminary Design ◽  
Large Power ◽  
Custom Made ◽  
Transformer Design

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.

scholarly journals Implementation of modified artificial bee colony (ABC) optimization technique for minimum cost design of welded structures

2014 ◽  
Vol 5 ◽  
pp. A11 ◽  
Author(s):  
Vimal Savsani
Keyword(s):  
Artificial Bee Colony ◽  
Optimization Problems ◽  
Optimization Technique ◽  
Cost Optimization ◽  
Welding Process ◽  
Welded Structures ◽  
Original Algorithm ◽  
Bee Colony ◽  
Algorithm Comparison ◽  
The Cost

Welded structures are widely used in many engineering load carrying structures such as columns, towers for wind turbine or water tanks, offshore and submarine structures, girders, stiffened doors, etc. welding is a costly fabrication process and proper sequence and welding process effect the cost of a huge structure. Keeping this in view two different problems from the literature for the cost optimization of welded structures are considered in this paper. The optimization procedure is carried out using artificial bee colony (ABC) optimization technique. Classical ABC is modified to increase the convergence rate of the original algorithm. Comparison of both the variants is experimented on many bench mark examples from the literature and also on two cost optimization problems of welded structures. The results of the considered techniques are compared with the previously published results. The considered techniques have given much better results in comparison to the previously tried approaches and also modified ABC has shown superiority over classical ABC.

An Expert System for the Cost-Optimal Refurbishment of Buildings

2014 ◽  
Vol 899 ◽  
pp. 599-604
Author(s):  
Arpád Csik
Keyword(s):  
Expert System ◽  
Optimization Problems ◽  
Cost Optimization ◽  
Environmental Load ◽  
It Implementation ◽  
Structural Parts ◽  
The Cost ◽  
Mathematical Foundations ◽  
Family House ◽  
Total Life

In the present paper we propose a solid theoretical frameworkfor the automatic parametrization of the cost-optimal refurbishment of arbitrary buildings.The parameters describe the structural parts of the building that can be modified or replacedduring the refurbishment process.The methodology also provides the cost-optimal refurbishment costand the corresponding smallest possible total life-cycle operation costconstrained by the available technological and economical limitations.The theory is implemented into the EnergOpt expert system providingfast and accurate answers to cost-optimization problems appearing in common practical applications.The system is built on firm mathematical foundations that is supported by state-of-the-artoptimization algorithms capable of finding good optimums in a short amount of CPU time.The modular structure of the IT implementation facilitates effortless localization in different countries.The application of the system may considerably contribute to the decrease of theheating energy consumption and the corresponding environmental load of the building stock.The practical potential of the technology is demonstrated by the energetic analysisof an existing family house.

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