Table 6 Analysis of random variable dimensions and simulation results in practical engineering
Method | Reference and Journal Title | Renewable energy dimension and data sources | Analysis of simulation results |
|---|---|---|---|
Probability Theory | [156] Electrical Power and Energy Systems | 4 wind farms in China | The PDF of WP scenarios calculated by the RVM-copula method are very similar to the empirical copula, and the correlation of small-scale WP scenarios is more accurately simulated. |
Probability Theory | [32] Journal of Modern Power Systems and Clean Energy | 26 wind farms in East China | The R-vine copula model is introduced to deal with the high-dimensional characteristics and correlation of WP scenarios, which is more accurate and flexible than the Gaussian copula calculation results. When the scenario dimension increases, the accuracy of this method decreases due to the limitation of computational ability. |
SML | [55] IEEE Transactions on Power Systems | 24 wind farms, 32 solar power plants located in the Washington from NREL | The marginal distribution of generated scenario by the model-free GAN network is closer to the actual distribution than the Gaussian copula. When the power fluctuation of renewable energy is large and the spatial correlation is enhanced, the calculation accuracy of traditional probability theory is greatly reduced. |