虚拟电厂供需侧双层协调自适应鲁棒优化调度OA北大核心CSTPCD
Two-layer Coordinated Adaptive Robust Optimal Scheduling on Supply and Demand Side of Virtual Power Plant
源荷预测是虚拟电厂(virtual power plant,VPP)制定未来调度计划的重要依据.提出一种基于多频组合短期源荷预测的VPP发电侧和用户侧协同优化调度方法.首先对时间序列的负荷数据进行集合经验模态分解(ensemble empirical mode decomposition,EEMD),并将其重构为高低2种频率,使用图卷积神经网络(graph convolution network,GCN)和长短期记忆网络(long short-t…查看全部>>
Source and load prediction is an important basis for virtual power plant(VPP)to make future dispatching plans.A collaborative optimization scheduling method of VPP generation side and user side based on multi-frequency combination short-term source load prediction is proposed.First of all,ensemble empirical mode decomposition(EEMD)is performed on the load data of the time series and reconstructed into two kinds of frequency,which is then predicted by the gra…查看全部>>
吕小红;刘维;刘克恒;蒋婧
国网重庆市电力公司,重庆市 渝中区 400015国网重庆市电力公司,重庆市 渝中区 400015国网重庆市电力公司,重庆市 渝中区 400015国网重庆市电力公司,重庆市 渝中区 400015
动力与电气工程
多频组合源荷预测虚拟电厂调度优化长短时记忆模态分解
multi-frequency combinationsource load predictionvirtual power plantscheduling optimizationlong short-term memorymodal decomposition
《全球能源互联网》 2024 (4)
431-442,12
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