This paper presents a method for determining optimal arrangements of parallel independent overhead power lines aimed to decrease electric and magnetic field emissions. The Genetic Algorithm (GA) is used to find the optimal placement of conductors. The Monte Carlo approach implemented in GA allows consideration of uncertain phase shifts between independent overhead power lines. The results and practical aspects of the proposed methodology are illustrated on two different configurations of both independent 400 kV singlecircuit and double-circuit overhead power lines.
The paper presents the dynamic model of maintenance costs of the power
transformer functional components. Reliability is modeled combining the
exponential and Weibull's distribution. The simulation was performed with the
aim of corrective maintenance and installation of the continuous monitoring
system of the most critical components. Simulation Dynamic System (SDS)
method and VENSIM PLE software was used to simulate the cost. In this way,
significant savings in maintenance costs will be achieved with a small
initial investment.
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