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FC energy harvesting using the MPP tracking based on advanced extremum seeking control

机译:使用基于高级极值搜索控制的MPP跟踪进行FC能量收集

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In this paper is proposed a Maximum Power Point (MPP) tracking technique for the Fuel Cell (FC) stacks based on advanced Extremum Seeking (aES) control that improves the basic performances of the ES control schemes: a guaranteed convergence and proved internal robustness. Other features such as higher search speed and improved tracking accuracy are demonstrated for the proposed aES control, besides these features that are necessary in case of unmodeled dynamics. The analysis on the frequency domain reveals the relationships between the main aES control parameters, the values of closed loop gain and dither amplitude, and the design performance indicators, the speed of search and accuracy of MPP finding, respectively. If the dither amplitude is set to be proportional with the magnitude of first harmonics of the processed FC power, then the reference current used in the FC current control loop will have an insignificant ripple after the MPP is caught. Thus, a reduced FC power ripple will appear. Therefore, if the search speed is set to be the same for all ES control schemes, then the proposed aES control outperforms all classical ES control schemes in overall power efficiency. Moreover, the aES search speed will proportionally increase with the loop gain and the dither amplitude. Note that here the dither has the amplitude set by the first harmonic of the FC power, being a time variable that have high value during the searching phase. This accelerates MPP searching up to the FC safe limits. Finally, this means a controllable time to shortly find the next MPP on dynamical operation of the FC stack. First harmonic of the FC power becomes almost zero after MPP is caught. Thus, higher tracking accuracy that means an economy on fuel consumption is obtained. The simulations performed show that above mentioned performances are effective for the aES control operating in both ripple- and dither-based modes of the grid connected FC inverters.
机译:本文提出了一种基于高级极限搜索(aES)控制的燃料电池(FC)堆栈的最大功率点(MPP)跟踪技术,该技术改善了ES控制方案的基本性能:保证了收敛性并证明了内部鲁棒性。除了未动态建模时必需的这些功能,还针对拟议的aES控制演示了其他功能,例如更高的搜索速度和更高的跟踪精度。频域分析揭示了主要aES控制参数,闭环增益和抖动幅度值之间的关系,以及设计性能指标,搜索速度和MPP查找精度。如果将抖动幅度设置为与已处理FC功率的一次谐波的大小成比例,则在捕获MPP之后,FC电流控制环路中使用的参考电流将具有很小的波动。因此,将出现减小的FC电源纹波。因此,如果将所有ES控制方案的搜索速度设置为相同,则在总体功率效率方面,拟议的aES控制将优于所有经典ES控制方案。而且,aES搜索速度将随环路增益和抖动幅度成比例地增加。请注意,此处的抖动具有由FC功率的一次谐波设置的幅度,这是一个在搜索阶段具有较高值的​​时间变量。这样可以将MPP搜索速度加快到FC安全极限。最后,这意味着可以控制的时间可以很快找到FC堆栈动态运行的下一个MPP。捕获MPP之后,FC功率的一次谐波几乎变为零。因此,获得了更高的跟踪精度,这意味着节省了燃料消耗。进行的仿真表明,上述性能对于在并网FC逆变器的基于波纹和抖动的模式下运行的aES控制都是有效的。

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