全球能源互联网（英文）2023，Vol.6Issue(4)：375-388,14.DOI:10.1016/j.gloei.2023.08.001
基于数据驱动的氢能耦合综合能源生产单元源荷鲁棒优化调度
Data-driven source-load robust optimal scheduling of integrated energy production unit including hydrogen energy coupling
摘要
Abstract
A robust low-carbon economic optimal scheduling method that considers source-load uncertainty and hydrogen energy utilization is developed.The proposed method overcomes the challenge of source-load random fluctuations in integrated energy systems(IESs)in the operation scheduling problem of integrated energy production units(IEPUs).First,to solve the problem of inaccurate prediction of renewable energy output,an improved robust kernel density estimation method is proposed to construct a data-driven uncertainty output set of renewable energy sources statistically and build a typical scenario of load uncertainty using stochastic scenario reduction.Subsequently,to resolve the problem of insufficient utilization of hydrogen energy in existing IEPUs,a robust low-carbon economic optimal scheduling model of the source-load interaction of an IES with a hydrogen energy system is established.The system considers the further utilization of energy using hydrogen energy coupling equipment(such as hydrogen storage devices and fuel cells)and the comprehensive demand response of load-side schedulable resources.The simulation results show that the proposed robust stochastic optimization model driven by data can effectively reduce carbon dioxide emissions,improve the source-load interaction of the IES,realize the efficient use of hydrogen energy,and improve system robustness.关键词
综合能源生产单元/氢能耦合/鲁棒核密度估计/数据驱动不确定集/综合需求响应Key words
Hydrogen energy coupling/Data-driven/Robust kernel density estimation/Robust optimization/Integrated demand response引用本文复制引用
卢锦玲,黄鼎越,任惠..基于数据驱动的氢能耦合综合能源生产单元源荷鲁棒优化调度[J].全球能源互联网（英文）,2023,6(4):375-388,14.基金项目
This work was supported by the National Key Research and Development Project of China(2018YFE0122200). （2018YFE0122200）
