A fast probabilistic voltage assessment method for distribution system integrated with wind power generation

Renewable energy sources, especially wind energy, are widely used in distribution system. To study the influence of wind power fluctuation on distribution system voltage profile, a new probabilistic model for wind power is proposed. The new model combines both Latin Hypercube Sampling (LHS) and scenario reduction techniques together, generating a small number of scenarios to represent wind power uncertainty. Here, one scenario is for one wind power production, with a corresponding probability. Moreover, for each scenario, a backward-forward load flow method is performed and node voltage profile in this scenario can be obtained. Based on the calculation results, some probabilistic characteristics for node voltage such as mean and standard deviation can be achieved. To verify the proposed wind power probabilistic model, the solution for IEEE33-bus test system is compared with Monte Carlo Simulation (MCS).