Joao Antonio de Vasconcelos

Federal University of Minas Gerais | UFMG · Departamento de Engenharia Elétrica (DEE)

The distribution network reconfiguration problem (DNRP) refers to the challenge of searching for a given power distribution network configuration with better operating conditions, such as minimized energy losses and improved voltage levels. To accomplish that, this paper revisits the branch exchange heuristics and presents a method in which it is c...

Power dispatch is one of the basic functions in power systems operation and planning activities. It involves security, performance, and economic aspects, while maintaining generation and demand balance. The Optimal Power Dispatch (OPD) and the Optimal Reactive Power Dispatch (ORPD) are formulations of the power dispatch that respectively address ob...

This research evaluates the geometric non-linear behavior of structures often used in transmission lines (TLs) and verifies the influence of different wire lengths, average wind speeds, and unevenness between adjacent towers, using the IEC 60826 standard. Different finite element numerical models were developed considering the isolated tower and al...

The installation of transmission line surge arresters (TLSAs) hasbeen one of the main solutions found to improve the performanceof overhead transmission lines (OHTLs) against atmospheric discharges.Thus, this work proposes a methodology for the optimalplacement of TLSAs in OHTLs, which is based on the couplingbetween an algorithm inspired by GVNS (...

Installation of transmission line surge arresters (TLSA) is one of the solutions found to improve the lightning performance of overhead transmission lines (OHTL). This work proposes a new multi-criteria methodology for the optimal placement of surge arresters on OHTL based on a multi-objective optimization algorithm coupled with ATP (Alternative Tr...

The application of transmission line surge arresters (TLSAs) is one of the main approaches found to boost the performance of overhead transmission lines (OHTLs) against atmospheric discharges. Thus, this work proposes a methodology for the optimal placement of TLSAs in OHTLs based on the combination of an optimization algorithm - inspired by Genera...

Abstract. This paper presents a study of wind climatology in the state of Minas Gerais and its influence on the design of overhead transmission lines (TL's). For this purpose, a database was created with the wind speeds of the main national meteorological networks (INMET, ICEA and INPE). This database was treated in order to obtain consistent serie...

In this manuscript, we identify and evaluate some of the most used optimization models for rule extraction using genetic programming-based algorithms. Six different models, which combine the most common fitness functions, were tested. These functions employ well-known metrics such as support, confidence, sensitivity, specificity, and accuracy. The...

A new methodology is described for designing a robust optimum TORUS topology-based 10 kW axial-flux permanent magnet (NdFeB) synchronous generator for direct-coupled wind turbines. This methodology uses a modified version of the many-objective evolutionary algorithm non-dominated sorting genetic algorithm III (NSGA-III) in order to: 1) handle a mix...

Multiobjective algorithms are powerful in tackling complex optmization problems mathematically represented by two or more conflicting objective functions and their constraints. Sorting a set of current solutions across non-dominated fronts is the key step for the searching process to finally identify which ones are the best solutions. To perform th...

This paper addresses the problem of planning and allocation of trucks in open-pit mines in terms of three conflicting objectives, and adapts three algorithms for its solution: NSGA-II, SPEA2, and a variant of the Pareto Iterated Local Search using Reduced Variable Neighborhood Search as its local exploration mechanism. Results on four different min...

A new methodology for optimization using parametric reduced order models is introduced. An adaptive scheme to place the expansion points in the reduction step is combined with a smart parametric space sampling in the optimization step to produce very reliable reduced order models. The methodology is illustrated in a demonstrative electromagnetic pr...

Real-world problems are often composed of multiple interdependent components. In this case, benchmark problems that do not represent that interdependence are not a good choice to assess algorithm performance. In recent literature, a benchmark problem called Travelling Thief Problem (TTP) was proposed to better represent real-world multicomponent pr...

In design optimization problems, the robustness of a solution is essential to be considered when it is going to be implemented or used in real world. Robustness can be defined in different ways, but in this work, it is considered as the property of a solution's performance to be as insensitive as possible to perturbations in that solution. Optimizi...

The use of compact overhead transmission lines are promising alternatives for high voltage transmission in urban areas. The cost of right of way acquisition for new projects is prohibitive in some cases. So, the use of existent right of way as a corridor of large amount of energy is interesting in the environment point of view and is very economic....

In this work it is shown that the optimization algorithm based on artificial immune network (aiNet) is effective to determine the parameters of a PID controller, so as to reduce the overshoot, the settling time and the rise time of stable, unstable and with integrator first-order systems. The parameters were obtained by minimizing the index of perf...

Attention : ce document est relativement ancien (1994)