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电导增量法实现光伏系统的最大功率点跟踪控制 总被引:2,自引:1,他引:1
最大功率点跟踪控制是光伏并网发电系统中经常遇见的问题。介绍光伏并网系统的结构,通过对太阳能电池功率电压曲线的分析,结合光伏并网系统的特性和太阳能电池的最大功率点的跟踪原理,提出一种采用电导增量法来实现光伏系统的最大功率点跟踪的方法。此方法控制精确、响应速度比较快,适用于大气条件变化较快的场合。 相似文献
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在太阳能LED路灯照明系统中,为了提高系统的整体效率,应实时检测太阳能电池的输出功率,保证太阳能电池始终工作在最大功率点上。文中介绍了太阳能电池的输出特性和最大功率点跟踪的原理,分析了常用的固定电压法、扰动观察法、电导增量法等跟踪方法。并针对传统算法中存在的跟踪速度慢、振荡现象等问题,提出了一种新的算法,将固定电压法和扰动观察法结合起来,利用两者各自的优势,实现快速跟踪,进一步提高太阳能电池的利用效率。 相似文献
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光伏并网逆变器最大功率点的跟踪控制 总被引:2,自引:0,他引:2
本文通过对太阳能电池的伏安特性及功率电压曲线的分析,给出了太阳能电池最大输出功率点的跟踪方法.通过分析比较,得出在光强变化较快的情况下光伏并网逆变器迅速跟踪最大功率点的方法. 相似文献
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光伏电池的输出功率与太阳辐射和环境温度变化,若不加以控制,将不会以最大功率输出。本文提出了一种变步长电导增量法,在光伏发电系统实现最大功率点跟踪。应用MATLAB建立光伏电池板的最大功率点跟踪变步长电导增量法的仿真模型并仿真。仿真结果表明,变步长电导增量法跟踪最大功率点效果良好,相比传统电导增量法,减弱了最大功率点附近振荡的情况,适合干快速变化的环境条件,具有良好的动态和稳态特性。 相似文献
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光伏阵列最大功率跟踪技术(MPPT)中常用的扰动观察法(P&Q)在光伏发电系统达到稳态时,存在输出功率在最大功率点附近震荡运行。为减少输出功率震荡问题,现引入一种新型变步长扰动观察法作为最大功率跟踪控制算法,该算法可以有效减少系统动态误差。利用Matlab/Simulink仿真软件建立了基于Boost电路的光伏发电系统仿真模型,详细阐述了扰动观察法的优缺点,进而采用新型变步长扰动观察法对最大功率跟踪技术进行仿真验证。新型变步长扰动观察法通过设置功率阈值与门限斜率双重判定的方式改变扰动步长,从而达到减缓光伏发电系统达到最大功率点时的功率往复震荡现象。通过仿真比较,该改进算法在提高系统跟踪速率的基础上,有效减缓了系统达到最大功率点时存在的震荡现象,提高了系统的跟踪效率和稳定性。 相似文献
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风力发电系统的输出功率受外界因数和风速的影响。为了提高小型风机发电机组的转换效率,文中采用一种最大功率优化跟踪算法。以变步长来跟踪风速变化,当功率变化小于一个阈值时停止搜索,来实现最大功率收索的快速性和稳定性。以带齿轮箱6 kW的鼠笼异步式风力发电并网为基础,通过Matlab/Simulink软件仿真结果证实此种方法与定步长爬山法相比,能够达到快速跟踪最大功率点和避免达到最大功率点附近的时候频繁波动。 相似文献
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《Progress in Photovoltaics: Research and Applications》2017,25(11):942-950
The surge of the power conversion efficiency of metal halide lead perovskite solar cells comes with concerns, such as the long‐term ecotoxicity of lead compounds, their sensitivity toward moisture and oxygen, or the scarcity of some of their components. Most perovskite solar cells still suffer from serious stability problems when measured under real working conditions (maximum power point tracking at 60°C). In the long run, stability will certainly decide on the fate of CH3NH3PbI3 and related lead perovskites for their use in photovoltaic modules. Herein, we show an effective and inexpensive strategy to perform ageing of perovskite solar cells under maximum power point tracking. For the first time, we analyze the issue of power extraction from solar cells exhibiting hysteresis. We show that a standard tracking algorithm such as perturb and observe fails to converge to the maximum power point of the solar cell if it exhibits j (V ) hysteresis, and we present an effective strategy to stabilize the algorithm. We show that enforcing oscillations in forward bias can boost the mean power output of some perovskite solar cells by more than 10%, in contrast to a reference crystalline silicon solar cell. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
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A new solar cell power supply system is presented, in which the boost type bidirectional dc-dc converter and the simple control circuit with a small monitor solar cell are employed to track the maximum power point of the solar array. It is confirmed by the experiment that the new system has sufficiently precise tracking operation performance and satisfactorily high power efficiency. Also, a comparison of the power efficiencies is made theoretically, as well as experimentally, on the new and the conventional solar cell power supply systems. As a result, it is revealed that the new system is superior to the conventional one in the power efficiency. 相似文献
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Mohammad Sarvi Saeedeh Ahmadi Shirzad Abdi 《Progress in Photovoltaics: Research and Applications》2015,23(2):201-214
To increase the efficiency of photovoltaic (PV) systems, maximum power point (MPP) tracking of the solar arrays is needed. Solar arrays output power depends on the solar irradiance and temperature. Also the mismatch phenomenon caused by partial shade will affect the output power of solar systems and lead to the incorrect operation of conventional MPP tracker. Under partially shaded conditions, the solar array power–current characteristic has multiple maximum. This paper presents a maximum power point tracking (MPPT) with particle swarm optimization method for PV systems under partially shaded condition. The performance of the proposed method is compared with perturb and observe (P&O), improved P&O, voltage‐based maximum power point tracking and current‐based maximum power point tracking algorithms, especially, under partially shaded condition. Simulation results confirm that proposed MPPT algorithm with high accuracy can track the peak power point under different insolation, temperature and partially shaded conditions, and it has the best performance in comparison with four mentioned MPPT algorithms. Also under rapidly changing atmospheric conditions, the P&O algorithm is diverged. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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最大功率跟踪(MPPT)是太阳能光伏发电的重要组成部分,依靠最大功率跟踪可使光伏电池工作在最大功率点(MPP)附近,提高太阳能的利用率.在分析光伏电池的数学模型的基础上,选用Boost电路作为DC/DC变换来搭建仿真模型;针对传统的定步长扰动观测法存在的震荡和误判现象,提出一种改进的扰动观测法,并在Matlab/Simulink环境下进行了仿真.与定步长的扰动观测法的仿真结果进行对比,表明该算法的响应速度更加迅速;在外界环境发生变化时,该算法能够快速做出判断,准确地跟踪到光伏电池的最大功率点. 相似文献
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Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller 总被引:1,自引:0,他引:1
The photovoltaic (PV) generator exhibits a nonlinear V-I characteristic and its maximum power (MP) point varies with solar insolation. In this paper, a feedforward MP-point tracking scheme is developed for the coupled-inductor interleaved-boost-converter-fed PV system using a fuzzy controller. The proposed converter has lower switch current stress and improved efficiency over the noncoupled converter system. For a given solar insolation, the tracking algorithm changes the duty ratio of the converter such that the solar cell array voltage equals the voltage corresponding to the MP point. This is done by the feedforward loop, which generates an error signal by comparing the instantaneous array voltage and reference voltage corresponding to the MP point. Depending on the error and change of error signals, the fuzzy controller generates a control signal for the pulsewidth-modulation generator which in turn adjusts the duty ratio of the converter. The reference voltage corresponding to the MP point for the feedforward loop is obtained by an offline trained neural network. Experimental data are used for offline training of the neural network, which employs a backpropagation algorithm. The proposed peak power tracking effectiveness is demonstrated through simulation and experimental results. Tracking performance of the proposed controller is also compared with the conventional proportional-plus-integral-controller-based system. These studies reveal that the fuzzy controller results in better tracking performance. 相似文献