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The program for dynamic economic scheduling of power systems containing wind farms is highly practical. This program is capable of managing the complex interplay between wind power and conventional energy sources, ensuring optimal energy generation and distribution across the power grid. By using advanced algorithms and machine learning techniques, the program is able to accurately predict wind power output and adjust energy production accordingly. Additionally, the program is designed to optimize energy storage and transmission, allowing for greater efficiency and reliability in the overall power system operation.