Grid planning plays an important role in the long-term development of electric power enterprises, is an important part of the national economy and social development, and plays a fundamental role in supporting the development of the whole country. In this paper, the day-ahead-intraday scheduling model is constructed with the objective of integrated energy system operation cost and the coordinated optimization of integrated flexible loads, cogeneration units and wind power from the perspective of multi-timescale scheduling. The genetic algorithm is improved based on the concept of adaptive, and the improved adaptive genetic algorithm is used to solve the system. The optimization model is verified to be effective for both load adjustment and small load fluctuation through examples, while the improved adaptive genetic algorithm can be effectively applied to the integrated energy system optimization and operation problem, and the proposed multi-timescale optimization and operation scheme has the advantages of reducing the operation cost and improving the consumption of renewable energy.