• Acta Photonica Sinica
  • Vol. 45, Issue 1, 135001 (2016)
HU Ke-yong1、2、*, XU Fang1, AI Qing-lin1, OU Yang-jing1, and XU Hong-wei1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/gzxb20164501.0135001 Cite this Article
    HU Ke-yong, XU Fang, AI Qing-lin, OU Yang-jing, XU Hong-wei. Adaptive Genetic Algorithm in the Application of Photovoltaic Power Generation System[J]. Acta Photonica Sinica, 2016, 45(1): 135001 Copy Citation Text show less

    Abstract

    For the problem that the total power of photovoltaic power system declines sharply, when the photovoltatic array is affected by the partial shading, the group control method was adopted to connect PV array and inverters by the switch matrix. The flexible topology structure of photovoltaic power generation network was formed. Then, the working principle of topology structure was introduced and the corresponding adaptive genetic algorithm to realize the group management between distributed photovoltatic array and inverters was proposed. The simulation and experiment results show that the convertion efficiency of optical energy used by the algorithm is much better than that of conventional distributed photovoltaic power for the shade of photovoltatic array, and providing a way for the effective use of optical energy.
    HU Ke-yong, XU Fang, AI Qing-lin, OU Yang-jing, XU Hong-wei. Adaptive Genetic Algorithm in the Application of Photovoltaic Power Generation System[J]. Acta Photonica Sinica, 2016, 45(1): 135001
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