电力系统自动化中基于智能算法的负荷预测与优化调度

Load Forecasting and Optimal Dispatching Based on Intelligent Algorithms in Power System Automation

电力系统是现代社会不可或缺的基础设施之一。负荷预测和优化调度对电力系统的稳定运行和高效运转至关重要。电力系统采用智能算法,结合历史负荷数据和环境因素等相关信息进行数据预处理,构建负荷预测模型;采用神经网络算法进行训练和优化,实现对未来负荷情况的预测,并通过优化调度算法,将负荷预测结果与电力系统的供需情况相匹配,实现电力资源的合理分配和调度,助力电力行业实现可持续发展。

Electric power system is one of the indispensable infrastructures in modern society.Load forecasting and optimal dispatching are very important for the stable and efficient operation of power system.The power system uses intelligent algorithms to data pre-processing the relevant information,such as historical load data and environmental factors,to build load forecasting models,and uses neural network algorithms for training and optimization,to realize the forecast of the future load,and to match the load forecast result with the supply and demand of the power system by optimizing the dispatch algorithm,and to realize the reasonable distribution and dispatch of the power resources,the power industry to achieve sustainable development.