ANALYSIS OF A CONVOLUTION METHOD FOR THE ASSESSMENT OF DISTRIBUTION GRIDS WITHIN PROBABILISTIC POWER FLOW CALCULATION

Probabilistic power flow calculation techniques are used in order to assess uncertainties due to current or future states of distribution grids (DG). These uncertainties are the stochastic behaviour of distributed energy resources (DER) and their hardly predictable number, installed capacity and location. This paper presents a consistent and comprising modelling of DER in form of parameterized probability density functions (PDF) and a convolution method, which takes into account correlations between DER and minimizes linearization errors by using a multilinearization approach.

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