Automatic Scheduling Method for Long-term Power Load in Distribution Networks
The efficient operation of distribution networks relies on accurate load forecasting and optimized scheduling.This article proposes an innovative long-term automatic power load scheduling method for distribution networks,which integrates advanced artificial intelligence algorithms and power system analysis theory.A multi-objective optimization scheduling model was established by constructing a multi time scale load forecasting model,combining power flow calculation,state estimation,and fault analysis.A scheduling strategy based on load forecasting,electricity price cost,and electricity market trading has been designed for different application scenarios.The simulation results verify the effectiveness and superiority of the proposed method,and provide a new idea for the development of distribution automation,smart grid and energy Internet.
d istribution networkload forecastingautomatic schedulingintelligent optimizationenergy interconnection
万方数据
维普
