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AI-Based Scheduling Agent Study

In: Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024)

Author

Listed:
  • Fengxi Gao

    (State Grid Liaoning Electric Power Company Limited Economic Research Institute)

Abstract

With the continuous increase in the scale and volume of the power grid, the proportion of existing new energy sources continues to increase, and the level of digitalisation of the power grid is also increasing, which brings huge challenges to power grid companies, and the importance and difficulty of intelligent grid dispatching decisions are also increasing. As the “brain” of power grid operation, dispatching is crucial to the balance and safety and stability of the power grid, and requires comprehensive judgement and accurate decision-making based on a variety of influencing factors. With the widespread access of new energy, the scale of power grid dispatching decisions and the difficulty of solving them are increasing day by day. Therefore, it is necessary to carry out the in-depth application of artificial intelligence technology in the dispatching profession to empower the construction of a digital and strong power grid.

Suggested Citation

  • Fengxi Gao, 2025. "AI-Based Scheduling Agent Study," Advances in Economics, Business and Management Research, in: Manhui Huang & Vilas B. Gaikar & Md Rabiul Islam & Ivan Krumov Todorov (ed.), Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), pages 692-700, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-676-5_67
    DOI: 10.2991/978-94-6463-676-5_67
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