Evolutionary based maximum power point tracking technique using differential evolution algorithm
Evolutionary based maximum power point tracking technique using differential evolution algorithm
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DOI：
10.1016/j.enbuild.2013.07.085
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发表时间：
2013-12
影响因子：
6.7
通讯作者：
M. F. N. Tajuddin;S. Ayob;Z. Salam;M. S. Saad
中科院分区：
文献类型：
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作者：
M. F. N. Tajuddin;S. Ayob;Z. Salam;M. S. Saad
本文提出了一种使用改进的差分进化（DE）算法的光伏（PV）系统最大功率点跟踪（MPPT）技术。对标准 DE 进行了修改，以处理动态目标函数问题，以适应非线性时变 MPPT 特性。使用这种方法，可以实现快速且准确地收敛到 MPP。该算法的性能在辐照波动较大且快速的情况下进行评估。为了进行基准测试，与传统的爬山（HC）技术进行了比较。结果表明，它在收敛速度和精度方面优于HC。此外，稳态下的功率振荡也显着减小。还证明了所提出的技术在处理部分阴影条件方面的有效性。凭借这种能力，所提出的技术可适用于建筑一体化光伏（BIPV）系统。
This paper presents a maximum power point tracking (MPPT) technique for photovoltaic (PV) system using a modified differential evolution (DE) algorithm. The standard DE is modified to deal with dynamic objective function problem to suit with the nonlinear time-varying MPPT nature. Using this approach, a fast and accurate convergence to MPP can be achieved. The performance of the algorithm is evaluated under large and rapid fluctuations of irradiation. For benchmarking, comparison to the conventional hill climbing (HC) technique is carried out. The results show that it outperforms the HC in terms of convergence speed and accuracy. In addition, the power oscillation at steady state is significantly diminished. The effectiveness of the proposed technique in handling partial shading conditions is also demonstrated. With this capability, the proposed technique can be suitably used for building integrated PV (BIPV) system.