A Scenario-Based Robust Transmission Network Expansion Planning Method for Consideration of Wind Power Uncertainties

This paper uses a novel scenario generation method for tackling the uncertainties of wind power in the transmission network expansion planning (TNEP) problem. A heuristic moment matching (HMM) method is first applied to generate the typical scenarios for capturing the stochastic features of wind power, including expectation, standard deviation, skewness, kurtosis, and correlation of multiple wind farms. Then, based on the typical scenarios, a robust TNEP problem is presented and formulated. The solution of the problem is robust against all the scenarios that represent the stochastic features of wind power. Three test systems are used to verify the HMM method and is compared against Taguchi's Orthogonal Array (OA) method. The simulation results show that the HMM method has better performance than the OA method in terms of the trade-off between robustness and economy. Additionally, the main factors influencing the planning scheme are studied, including the number of scenarios, wind farm capacity, and penalty factors, which provide a reference for system operators choosing parameters.