A power transformer is one of the most important and costly pieces equipment in electrical systems. Its importance attributed directly to continuity supply power, since its loss through failure or defect means an interruption power. This a large piece whose substitution expensive involves lengthy process.

Having the property to modify only geometry of a polygonal structure, preserving its physical magnitudes, Conformal Mapping is an exceptional tool solve electromagnetism problems with known boundary conditions. This work aims introduce new developed mathematical operator, based on polynomial extrapolation. operator has capacity accelerate optimization method applied in conformal mappings, determinate equipotential lines, field capacitance, and permeance some electrical devices inner...

A robust genetic circuit optimizer using Unscented Transform and Non-dominated Sorting Genetic Algorithm-II is presented. The algorithm provides significant computational cost reduction compared to Monte Carlo method. permits performance uncertainties determination from components uncertainties, thus, a search through robustness can be approached. Besides reduced effort, plethora of possibilities offered designer by the multi-objective observed as result. Doherty power amplifier was used case study.

Power transformers are strategically important assets in the electric power system, because they enable electricity to be transmitted over long distances, with low losses and voltage drops. Failures of these devices can cause unscheduled interruptions supply electricity, resulting major disruptions, impaired image companies responsible, including penalties imposed by regulatory agency, worst case scenarios, irreparable breakdown assets. In this context, degradation insulation system a...

Abstract This paper presents a methodology to calculate the value of Carter's factor for airgaps with polygonal slots. A numerical evaluation Schwarz–Christoffel transformation is performed using Genetic Algorithms. The presented here extends method more complicated geometry. Some case studies compare results developed results. Copyright © 2010 John Wiley & Sons, Ltd.

This paper proposes a method for evaluating and classifying transformers, using equations to obtain scores ratings insulation resistance tests as function of the age these devices, resulting in recommendations support decision-making. Analyses were made test results power transformers 1 MVA 50 MVA, wrapped Kraft immersed insulating mineral oil, with nominal voltages 13.8 kV 230 kV, ranging from 51 years old, whose varied "A" (excellent) "E" (very poor). The methodology was developed...

This paper proposes mathematical models of moisture in paper-oil insulation systems for use power transformers. work is important because it helps shed light on the phenomenon migration transformer systems, and also serves as a tool to underpin decisions by maintenance engineers response occurrence phenomena that may impair performance The methodology involves computational intelligence tools finite difference method. concludes with description case study.

This article presents a stochastic optimization method for the mechanical dimensioning problem of overhead distribution power lines. For this purpose, an algorithm tailored solving mixed integer programming problems based on MI-LXPM was developed, which, associated with unscented transform, allows uncertainty inherent in wind speed to be considered during process, fewer evaluations than required by Monte Carlo methods. An on-the-fly population size adjustment used, which number reach...

Esse artigo apresenta uma abordagem multiobjetivo e multirestrição para a otimização de sistemas transmissão vídeo digital, baseados em Redes FrequÊncia Única. O método proposto é capaz prover curvas decompromisso cobertura, custos interferências, entre outros como nível exposição à radiação. cobertura geral pode ser estendido outras redes sem fio, celular.

SUMMARY This work presents a genetic operator developed from mathematical methods of curve extrapolation applied in solving problems geoelectrical prospection. will assist the production fitter individuals population algorithm which inherent patterns best each generation are recognized. The proposed conjunction with real‐coded is compared to five alternative optimization techniques known and used application Copyright © 2014 John Wiley & Sons, Ltd.

The identification of metrics or ranges parameters for the detection partial discharges by acoustic emission method diagnosis and/or classification power transformers according to their state is essential support decisions about equipment stoppages at proper time, i.e., before a failure occurs. This paper discusses these based on analyses several field trials, using an algorithm generate decision trees, as well case study validate methodology, which was successfully applied in preventive maintenance.

Um otimizador genetico robusto baseado na transformada de incerteza e no Algoritmo Genetico Selecao por Nao-dominacao-II apresentado. O algoritmo proporciona reducao significativa do custo computacional se comparado com o metodo Monte Carlo. A permite a determinacao das incertezas desempenho circuito partir dos componentes, proporcionando uma busca guiada pela robustez. Alem da economia apresentada, outros resultados sao as diversas opcoes circuitos oferecidas ao projetista atraves multiplos...

A novel evolution-based (or genetic-based) stochastic approach driven to simulation-based optimisation of multiple figures merit nonlinear oscillator models is presented. The dynamics the evolutionary method allows for a robust search best trade-off curve problem with good diversity solutions.

This paper proposes an optimal design for a surface mounted permanent magnet synchronous machine (SM-PMSM) based on parametric optimization process to reduce the on-load Back-EMF distortions caused by increase in electromagnetic load and saturation. Unlike conventional methods described literature, approach proposed here accounts saturation effects, air gap flux density distribution evaluation of means finite element analysis, allied most recent method, known as MST (Maxwell stress tensor)...

This paper presents a hybrid evolutionary algorithm to synthesize the resonator filters of an arbitrary topology. In this approach structure space is explored concerning predefined small building-blocks having specific functionalities (resonator or coupling) and rules for structural restrictions. The method used 2D representation, proposing new strong genetic operators combining biobejctive evolve topologies local search improve circuit parameters. results showed that proposed generates,...