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计及SOC自恢复的混合储能系统功率优化分配策略

Low-carbon economic scheduling of hydrogen-doped micro energy grid based on model predictive control
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摘要 直流微电网混合储能系统中的超级电容器和蓄电池在工作期间的荷电状态(SOC)易越限,且两者会相互影响,导致SOC恢复效果减弱。为了解决上述问题,提出一种基于双层模糊控制的混合储能系统功率二次分配策略。在第一层SOC自恢复控制上增加第二层约束控制,对恢复量加以限制,以增强SOC恢复效果。针对低频阶段虚拟电容因其特性减弱SOC恢复效果,高频阶段分频控制与SOC自恢复控制相互耦合影响的问题,对功率的二次分配进行优化,在低频阶段加入恢复补偿环节,在高频阶段将分频控制与SOC自恢复控制解耦并加入解耦补偿环节,使得恢复效果最大化,从而延长储能装置的寿命并加快功率响应速度。在MATLAB/Simulink中搭建相关模型进行仿真分析,结果表明所提控制策略可以增强SOC恢复效果,提高系统运行稳定性。 In order to realize the low-carbon economic operation of micro energy grid(MEG)and suppress the uncertainty brought by wind and photovoltaic power generation output,the coupling relationship between each aspect of hydrogen energy production,storage and usage and MEG is mainly considered,then the opti-mal scheduling model of MEG considering the green electricity-electrolysis-hydrogen blending conversion process is established and the model predictive control scheduling strategy based on deep learning is pro-posed.The effectiveness of the proposed strategy is verified by the simulation of typical summer and win-ter days.The results of several typical scenarios verify that the introduction of hydrogen energy interaction and ladder carbon price can effectively guide the low-carbon economic operation of MEG.The results of parameter sensitivity analysis show that the increase of hydrogen-doped ratio of gas turbine and carbon base price will increase the operation cost of the system and effectively reduce the carbon emission of the system.
作者 马文忠 张家瑞 王玉生 张文艳 李恒硕 朱亚恒 WANG Pei;ZHANG Hanqing;YANG Nan;TAI Nengling;ZHAO Liang(College of Electrical and Power Engineering,Hohai University,Nanjing 211100,China;Nanjing Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210000,China;Department of Electrical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;China Southern Power Grid Digital Grid Research Institute Co.,Ltd.,Guangzhou 510700,China)
出处 《电力自动化设备》 北大核心 2025年第3期16-23,共8页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(52277208)。
关键词 混合储能系统 SOC自恢复 补偿环节 功率分配 模糊控制 micro energy grid hydrogen-doped gas turbine model predictive control ladder carbon trading low-carbon economic scheduling
作者简介 马文忠(1968-),男,教授,博士,主要研究方向为柔性直流输电与能源互联网等,E-mail:mawenzhong@126.com;张家瑞(1996-),男,硕士研究生,主要研究方向为光储直流微电网,E-mail:zhangjiarui202203@163.com。
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