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.