Optimization of Electrical Automation Control Method Based on Artificial Intelligence
With the expansion and complexity of power system,the traditional electrical automation control method has been difficult to meet the needs of modern power grid.An electrical automation control optimization method combining deep learning,reinforcement learning and expert system is proposed to improve the intelligent level and operation efficiency of power grid.The experimental results show that this method is superior to the traditional method in load forecasting accuracy,control strategy optimization and fault handling speed,which provides a new idea for the development of smart grid.
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