A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation
A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation
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DOI：
10.1016/j.enconman.2016.12.082
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发表时间：
2017-03
影响因子：
10.4
通讯作者：
J. Ram;T. Sudhakar Babu;T. Dragičević;N. Rajasekar
中科院分区：
文献类型：
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作者：
J. Ram;T. Sudhakar Babu;T. Dragičević;N. Rajasekar
太阳能光伏建模中不准确的I-V曲线生成导致效率降低，另一方面，准确模拟光伏特性成为实验验证之前的强制性义务。虽然文献中的许多优化方法都试图提取准确的PV参数，所有这些方法都不能保证它们收敛到全局最优。因此，本文作者提出了一种新的混合蜜蜂授粉花授粉算法（BPFPA）的PV参数提取问题。在不同的环境条件下，提取并测试了单二极管和双二极管的PV参数。为了简洁起见，双二极管模型的I 01，I 02，Ipv和单二极管模型的I 0，Ipv被解析地计算，其中其余参数'Rs，Rp，a1，a2'使用BPFPA方法被优化。据发现，所提出的蜜蜂授粉方法具有所有的范围来创建控制变量的探索和开发，以产生较小的RMSE值，即使在较低的辐照条件下。为了进一步验证算法的性能，将BPFPA算法与遗传算法（GA）、模式搜索（PS）、和声搜索（HS）、花形搜索算法（FPA）和人工蜂群优化算法（ABSO）进行了比较。此外，PV建模的各种结果和不同的参数影响准确的PV建模进行了批判性的分析。
The inaccurate I-V curve generation in solar PV modeling introduces less efficiency and on the other hand, accurate simulation of PV characteristics becomes a mandatory obligation before experimental validation. Although many optimization methods in literature have attempted to extract accurate PV parameters, all of these methods do not guarantee their convergence to the global optimum. Hence, the authors of this paper have proposed a new hybrid Bee pollinator Flower Pollination Algorithm (BPFPA) for the PV parameter extraction problem. The PV parameters for both single diode and double diode are extracted and tested under different environmental conditions. For brevity, theI01,I02,Ipvfor double diode andI0,Ipvfor single diode models are calculated analytically where the remaining parameters‘Rs,Rp,a1,a2’ are optimized using BPFPA method. It is found that, the proposed Bee Pollinator method has all the scope to create exploration and exploitation in the control variable to yield a less RMSE value even under lower irradiated conditions. Further for performance validation, the parameters arrived via BPFPA method is compared with Genetic Algorithm (GA), Pattern Search (PS), Harmony Search (HS), Flower Pollination Algorithm (FPA) and Artificial Bee Swarm Optimization (ABSO). In addition, various outcomes of PV modeling and different parameters influencing the accurate PV modeling are critically analyzed.