基于模型预测控制的掺氢微能源网低碳经济调度  

Optimal power distribution strategy of hybrid energy storage system considering SOC self-recovery

作　　者：王沛[1] 张汉清 杨楠 邰能灵[3] 赵亮 MA Wenzhong;ZHANG Jiarui;WANG Yusheng;ZHANG Wenyan;LI Hengshuo;ZHU Yaheng(College of New Energy,China University of Petroleum(East China),Qingdao 266580,China;PetroChina Planning and Engineering Institute,Beijing 100083,China)

机构地区：[1]河海大学电气与动力工程学院,江苏南京211100 [2]国网江苏省电力有限公司南京供电分公司,江苏南京210000 [3]上海交通大学电气工程系,上海200240 [4]南方电网数字电网研究院股份有限公司,广东广州510700

出　　处：《电力自动化设备》2025年第3期1-7,23,共8页Electric Power Automation Equipment

基　　金：国家自然科学基金联合重点项目(U2243243);国家重点研发计划项目(2022YFE0101600)。

摘　　要：为了实现微能源网(MEG)的低碳经济运行,抑制风光出力给系统带来的不确定性,重点考虑氢能制、储、用各环节与MEG的耦合关系,建立考虑绿电-电解-掺氢转换过程的MEG优化调度模型,提出基于深度学习的模型预测控制调度策略。通过夏、冬典型日的仿真验证所提策略的有效性,基于多个典型场景验证氢能交互和阶梯碳价的引入可有效引导MEG低碳经济运行。参数敏感性分析结果表明,燃机掺氢比和碳基价的增大均会提高系统运行成本,有效降低系统碳排放量。In the DC microgrid,the state of charge(SOC)of supercapacitor and battery in the hybrid energy storage system is easy to exceed the limit during operation,and the interaction between them will lead to the weakening of SOC recovery effect.In order to solve the above problems,a power secondary distribution strategy of hybrid energy storage system based on double-layer fuzzy control is proposed.The second layer constraint control is added to the first layer SOC self-recovery control to limit the recovery value,so as to enhance the SOC recovery effect.In view of the problems that the SOC recovery effect is weakened by the virtual capacitor due to its characteristics in the low frequency stage and the coupling effect between the frequency division control and the SOC self-recovery control in the high frequency stage,the secondary power distribution is optimized.The recovery compensation unit is added in the low frequency stage,and the frequency division control and SOC self-recovery control are decoupled and the decoupling compensa-tion unit is added in the high frequency stage,so as to maximize the recovery effect,prolong the life of the energy storage device and speed up the power response.The relevant model is established in MATLAB/Simulink for simulation analysis,and the results show that the proposed control strategy can enhance the SOC recovery effect and improve the system stability.

关 键 词：微能源网 掺氢燃机 模型预测控制 阶梯碳交易 低碳经济调度 

分 类 号：TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]