Research on Adaptive Optimization of Power Dispatching in Distribution Networks Based on Data-driven Models
This article proposes a data-driven model driven adaptive optimization system for power dispatch in distribution networks.Through the integration of modules such as data acquisition,load forecasting,optimization scheduling,and decision execution,real-time adaptive intelligent scheduling of distribution networks is achieved.The system has achieved good results in improving the economic and reliability of distribution network operation by comprehensively utilizing technologies such as big data analysis and deep learning.The simulation experiments have verified the effectiveness and superiority of the proposed system,providing new ideas for promoting the intelligent development of distribution networks.
distribution networkpower dispatchadaptive optimizationdata driven
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