The expected model and algorithm of multi-objective transmission network planning considering the uncertainty of wind power

This paper presented a three-point estimation method to calculate the probabilistic power flow, considering the uncertainty of wind power in multi-objective transmission network expansion planning. Herein, the power outputs of wind farm were sampled, and the uncertain multi-objective transmission network planning model was transformed into a solvable deterministic model. Compared with other algorithms of probabilistic power flow, such as algorithms based on Monte Carlo simulation and analytical method, the presented method needs less input information, and can easily combine with the multi-objective transmission network planning model. Besides, this method also has the advantages of low computational amount, high accuracy and wide generalization. Therefore, the presented method is effective to deal with the uncertainty of wind power in transmission network planning. Finally, the IEEE 24-bus test system was adopted to verify the presented method and algorithm.