Probabilistic Evaluation of Short-Circuit Currents Based on Latin Hypercube Sampling

Abstract

Due to the low voltage ride-through ability of the distributed photovoltaic power generations, the traditional short-circuit current calculation method is no longer applicable. At the same time, since the randomness of new energy output, it is need for the probabilistic evaluation of short-circuit current for the distribution network. This paper proposes a method based on Latin hypercube sampling(LHS) to calculate the probability distribution of short-circuit current in the distribution network including some photovoltaic power stations. Firstly, the short circuit fault equivalent model of the distributed photovoltaic power considering low voltage ride through is established. Secondly, the calculation method of short circuit current based on superposition principle is adopted to reduce the computation cost. Then based on the probability distribution of photovoltaic power output, the Latin hypercube sampling method is used to calculate the probability distribution of short-circuit current. The results of IEEE33 distribution system show that the proposed method can comprehensively reflect the actual short-circuit current level in distribution network.