智慧能源系统中的可再生能源预测与调度优化算法研究  

Research on Renewable Energy Prediction and Scheduling Optimization Algorithms in Smart Energy Systems

作　　者：苏仁泽 SU Renze(Shanxi Dazhong Energy Development Co.,Ltd.,Taiyuan,Shanxi Province,030000 China)

机构地区：[1]山西大众能源发展有限公司,山西太原030000

出　　处：《科技资讯》2024年第22期199-201,共3页Science & Technology Information

摘　　要：可再生能源已成为全球能源转型的重要推动力,可再生能源的大规模接入给智慧能源系统的优化调度带来了挑战。针对可再生能源出力的不确定性和波动性,提出一种基于机器学习的多时间尺度预测方法和考虑预测误差的鲁棒优化调度模型,有效地提高了系统对可再生能源的消纳能力和运行经济性。仿真分析验证了所提方法的可行性和优越性。Renewable energy has become an important driving force for global energy transformation.The large-scale integration of renewable energy poses challenges to the optimization and scheduling of smart energy systems.This article proposed a machine learning based multi time scale prediction method and a robust optimization sched⁃uling model considering prediction errors to address the uncertainty and volatility of renewable energy output,effec⁃tively improving the system's ability to absorb renewable energy and operational economy.The simulation analysis verified the feasibility and superiority of the proposed method.

关 键 词：智慧能源系统 可再生能源 预测 优化调度 机器学习 鲁棒优化 

分 类 号：TM715[电气工程—电力系统及自动化]