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基于模型预测控制的离网电氢耦合系统功率调控 被引量:20

Power Regulation of Off-grid Electro-hydrogen Coupled System Based on Model Predictive Control
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摘要 能源低碳化转型是目前能源改革必由之路,而氢能在能源去碳化进程中扮演着越来越重要的地位,由风、光与氢能构成的离网电氢耦合典型低碳能源系统,具有显著低碳、绿色的特点。针对离网风光发电不稳定及供能系统低碳化需求问题,该文提出基于模型预测控制(model predictive control,MPC)的离网电氢耦合系统功率调控方法。氢作为能源低碳化变革中重要能源载体,为风电光伏离网供能系统提供主要的中间稳定环节。该文构建典型离网电氢耦合能源供给系统架构,其中氢储能系统包括碱性电解槽-储氢罐-质子交换膜燃料电池,建立电氢耦合系统线性离散状态空间模型,基于具有较好在线优化动态控制性能的MPC方法,对系统进行功率平衡优化调控。通过典型日算例仿真分析,验证所提系统架构的合理性及系统功率调控的鲁棒性与有效性。 Low carbon transformation of energy is the only way for energy reformation, and hydrogen plays an increasingly important role in the process of energy decarbonization. The typical low-carbon energy system composed of wind, photovoltaic and hydrogen is characterized as being low-carbon and green. In order to solve the issue of the requirements for low-carbon energy supply system and the instability of off-grid wind and photovoltaic power generation, a power regulation method of off-grid electro-hydrogen coupling system based on model predictive control was proposed in this paper. Hydrogen, as an important energy carrier in the low-carbon transformation of energy, provides the main intermediate stable link for the off-grid wind and photovoltaic energy supply systems. This paper modeled a typical off-grid electro-hydrogen coupling energy supply system architecture and linear discrete-time state space model, in which the hydrogen storage system includes alkaline electrolyzer, hydrogen storage tank and proton exchange membrane fuel cell. Then, the power balance of the system was optimized based on the MPC method with better on-line optimal dynamic control performance. Through the simulation analysis of typical daily examples, the rationality of the proposed system architecture and the robustness and effectiveness of the system power regulation are verified.
作者 孔令国 于家敏 蔡国伟 王士博 刘闯 KONG Lingguo;YU Jiamin;CAI Guowei;WANG Shibo;LIU Chuang(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,Jilin Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2021年第9期3139-3148,共10页 Proceedings of the CSEE
基金 国家重点研发计划项目(2018YFB1503100) 国家自然科学基金项目(51907021)。
关键词 电氢耦合 氢储能 状态空间模型 模型预测控制 功率调控 grid-hydrogen coupling hydrogen storage state space model model predictive control power regulation
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