Marina A. Tsili

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Marina A. Tsili, Eleftherios I. Amoiralis, Antonios G. Kladas and Athanassios T. Souflaris 1 Faculty of Electrical & Computer Engineering, National Technical University of Athens, GR-15780, Athens, Greece (e-mail: mtsili@central.ntua.gr, kladasel@central.ntua.gr) 2 Department of Production Engineering and Management, Technical University of Crete, 73100,(More)
This paper proposes a non-deterministic methodology, based on ant colony optimization, for the optimal choice of transformer sizes to serve a forecasted load. This methodology is properly introduced to the solution of the optimal transformer sizing problem, taking into account the constraints imposed by the load to be served by the transformer throughout(More)
In this paper, an integrated, three-dimensional, finite element package for the analysis and design of power transformers is developed, requiring no prior user experience in numerical methods and magnetic field simulation. The package consists of an automated pre-processor, magnetostatic solver and post-processor. High accuracy, low computational cost,(More)
This paper addresses the complex optimum transformer design problem, which is formulated as a mixed-integer nonlinear programming problem, by introducing an integrated design optimization method based on evolutionary algorithms and numerical electromagnetic and thermal field computations. The main contributions of this research are: i) introduction of a new(More)
This paper proposes a stochastic optimisation method, based on Ant Colony Optimisation (ACO), for the optimal choice of transformer sizes to be installed in a distribution network. This method is properly introduced to the solution of the Optimal Transformer Sizing (OTS) problem, taking into account the constraints imposed by the load the transformer serves(More)
Transformer design optimization is determined by minimizing the transformer cost taking into consideration constraints imposed both by international specifications and customer needs. The main purpose of this work is the development and validation of an optimization technique based on a parallel mixed integer nonlinear programming methodology in conjunction(More)
Owing to deregulation, privatization, and competition, estimating financial benefits of electrical power system projects is becoming increasingly important. In other words, it is necessary to assess the project profitability under the light of new developments in the electricity market. In this paper, a detailed methodology for the least cost choice of a(More)
In this article, an efficient model for the finite element analysis of distribution transformers is presented. In this model, a particular reduced scalar potential formulation is adopted, necessitating no prior source field calculation, reducing significantly the computational effort of the magnetic field sources calculation. This formulation, in(More)
This paper proposes a stochastic optimization method, based on ant colony optimization, for the optimal choice of transformer sizes to be installed in a distribution network. This method is properly introduced to the solution of the optimal transformer sizing problem, taking into account the constraints imposed by the load the transformer serves throughout(More)
The detection of high impedance faults (HIF) occurring on distribution lines is particularly difficult or even impossible, using conventional phase or earth over-current detection schemes, due both to the low fault currents involved and the arcing nature of such faults. This paper investigates the application of the “phase discontinuity” (essentially(More)