Stochastic modelling of high-speed reclosing in probabilistic transient stability studies

The traditional design of a power system includes testing the stability of the system under specified basic contingencies. This 'worst case' approach has been used widely and successfully by most power utilities. It is obvious that a wide range of contingencies are possible at any location in the system. This leads to the realisation that a stochastic approach could be used in the analysis to include the probabilities associated with all possible contingencies to obtain a more realistic appraisal of the system stability. A stochastic modelling for high-speed reclosing is presented, and two sets of probabilistic transient stability indices are introduced.