摘要
最大功率跟踪(MPPT)技术是提高燃料电池能量转化效率的有效手段。在分析燃料电池输出特性及燃料电池发电系统DC-DC转换电路控制特性的基础上,提出基于云模型理论的燃料电池最大功率智能跟踪方法。以燃料电池输出功率变化量与电压变化量作为二维云模型发生器的前件,升压斩波电路开关的占空比作为云模型发生器的后件,建立了适用于燃料电池最大功率跟踪的云智能控制器。该方法有效地解决了扰动观察法在外部条件发生剧变时存在的误判问题和模糊控制中精确隶属度设计困难的问题。利用Matlab/Simulink搭建燃料电池发电系统仿真模型,在燃料流量启动、陡增和陡降三种典型扰动方式下,对所提最大功率跟踪策略进行了仿真计算。结果表明该策略能够快速、准确地跟踪最大功率点,具有收敛速度快、稳定性好的优点。
Maximum power point tracking(MPPT)is an effective means to improve the efficiency of fuel cell energy conversion.Based on the analysis of fuel cell output characteristics and the characteristics of DC-DC converter circuit of fuel cell power generation system,this paper presents a maximum power intelligent tracking method for fuel cell based on cloud model theory.The changes of output power and voltage in the fuel cell are used as the front part of the cloud model generator,DC-DC Boost chopper duty cycle as the latter part of the cloud model generator.An intelligent cloud model controller for maximum power tracking of fuel cells is established.This method can effectively solve the misjudgment problem of the perturb observe method when the external condition is drastic as well as the design difficulty of the precision membership in fuzzy control.The simulation model of fuel cell power generation system is built by Matlab/Simulink.The maximum power tracking strategy proposed in this paper is simulated by the start of fuel flow,steep increase,steep drop of three typical perturbation modes.The results show that this strategy can quickly and accurately track the maximum power point(MPP),with the advantages of fast convergence and good stability.
作者
杨德友
崔冬晓
蔡国伟
Yang Deyou;Cui Dongxiao;Cai Guowei(School of Electrical Engineering Northeast Electrical Power University Jilin 132012 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2018年第14期3362-3370,共9页
Transactions of China Electrotechnical Society
基金
国家自然科学基金(51577028)
吉林省教育厅科技项目(JJKH20170100KJ)资助
关键词
燃料电池
升压斩波电路
最大功率跟踪
云模型
智能控制
Fuel cell
Boost chopper
maximum power point tracking(MPPT)
cloud model
intelligent controller
