Analysis and Optimization of Maximum Power Point Tracking Algorithms in the Presence of Noise
Analysis and Optimization of Maximum Power Point Tracking Algorithms in the Presence of Noise
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DOI：
10.1109/tpel.2012.2211038
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发表时间：
2013-07-01
影响因子：
6.7
通讯作者：
Sullivan, Charles R.
中科院分区：
文献类型：
--
作者：
Latham, Alexander M.;Pilawa-Podgurski, Robert;Sullivan, Charles R.
本文分析了噪声对光伏系统几种最大功率点跟踪 (MPPT) 算法的影响。噪声是 MPPT 算法优化的重要考虑因素。例如，对于扰动观察算法，扰动大小必须足够大以产生大于测量噪声的信号；然而，扰动越大，系统偏离稳态最大功率点的距离就越远。跟踪速度也需要权衡，因为较慢的跟踪可以对信号进行更多平均，从而减轻噪声。噪声和其他参数对跟踪性能的影响被量化，从而优化系统参数，为指定的跟踪速度提供最佳的跟踪精度。比较了各种算法的性能，并通过仿真和实验验证了分析结果。
This paper analyzes the effect of noise on several maximum power point tracking (MPPT) algorithms for photovoltaic systems. Noise is an essential consideration for optimization of MPPT algorithms. For example, for a perturb and observe algorithm, the perturbation size must be big enough to produce a signal larger than the measurement noise; however, the larger the perturbation, the farther the system will deviate from the maximum power point in steady state. There is also a tradeoff with respect to tracking speed, as slower tracking allows for more averaging of the signals, mitigating the noise. The effect of noise and other parameters on tracking performance is quantified, leading to an optimization of the system parameters to provide the best tracking accuracy for a specified tracking speed. The performance of the various algorithms is compared, and the analysis is verified by both simulations and experiments.