Công nghệ cơ khí thường tạo ra các giả lập mô phỏng hoạt động của các đối tượng, như quy trình chế tạo thực tế theo trình tự tối ưu hóa sự thực hiện, hiệu quả kinh tế và chi phí năng lượng trước khi quyết định lựa chọn một thiết kế cụ thể. | 264 Wind Farm - Impact in Power System and Alternatives to Improve the Integration Fig. 15. Gaussian transition probabilities for M 64 states Fig. 16. Weibull transition probabilities for M 64 states Modeling Wind Speed for Power System Applications 265 Fig. 17. Weibull state probabilities for M 16 states Fig. 18. Gaussian state probabilities for M 16 states 266 Wind Farm - Impact in Power System and Alternatives to Improve the Integration Applying the quantization process and Markov state model to the decomposed wind speed signals presented in Figure 10 16-year time series in hourly resolution results in log normal distribution of wind speed state probabilities. The final results of the state probabilities are shown in Figures 19 - 21. Figures 22 - 24 show the transition probabilities for each decomposed wind speed signal. It is shown that smooth transitions appear in medium and low frequency component signals . centered around the diagonals while high frequency component transition probabilities exhibit significant non-uniformities and disruptions due to fast changes and high frequencies variations driving the high frequency decomposed wind speed signal. Fig. 19. Lognormal state probabilities M 128 for high frequency wind .
