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This paper proposes a methodology to predict the sags level caused by faults that may affect users in a distribution network. The methodology determines the trend of the possible fault location, the fault type and failed phases by analyzing historical data. These trends are modeled using probability densities and are simulated using Monte Carlo techniques (Gibbs algorithm). With the simulation results,...
This paper will deal with improvement of lightning induced voltage performance of distribution network by optimizing the surge arrester location on the distribution network. The optimization of the location is made by using a novel formulation based on genetic algorithms. Here is described the implementation of this methodology by using sophisticate software which has been used for lightning induced...
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