基于强化学习算法的电气系统智能控制与优化研究

Research on Intelligent Control and Optimization of Electrical System Based on Reinforcement Learning Algorithm

研究了基于强化学习算法的电气系统的智能控制与优化,深入探讨了强化学习的基础,包括深度强化学习方法,并将其应用于电气系统建模和问题定义,并通过强化学习求解最优目标函数的解。通过实验,验证了该方法的有效性,为电气系统的性能改进提供了新的途径。

This study is based on reinforcement learning algorithms,aiming to improve the intelligent control and optimization of electrical systems.Deeply explored the foundation of reinforcement learning,including deep reinforcement learning methods,and applied them to electrical system modeling and problem definition,and solved the optimal objective function through reinforcement learning.The effectiveness of this method has been verified through experiments,providing a new approach for improving the performance of electrical systems.