Distribution network restoration using sequential monte carlo approach

The paper describes a developed procedure for modeling restoration after a fault and calculating associated switching time using sequential Monte-Carlo approach. The procedure is based on the experience and knowledge of distribution system operators, thus represents an attempt in regarding the realistic issues influencing the duration of fault isolation and customer restoration, i.e. the actual switching and eventually repair time needed for restoration of each affected customer. In addition to expected duration of switching, the associated probability density functions can be computed. Further more, Visual Basic software using the proposed procedure has been developed and some examples of switching time expectations and probability distributions calculations are presented.