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Efficient Power Extraction from SPV system in Partially Shaded Condition: A Comparative Study between Classical and Fuzzy Logic Control

机译:部分遮蔽条件下SPV系统的有效功率提取:经典与模糊逻辑控制的比较研究

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摘要

Curbing global warming and simultaneously meeting enhanced electrical energy demand have become a challenge to developing country, like India. Uncontrolled use of fossil fuels causes emission of greenhouse gases and serious environmental degradation. Use of non-conventional energy resources, like photovoltaic (pv) solar energy is a necessity to maintain sustainable development in energy sector. A common goal is to extract maximum available power from the pv source with the use of different maximum power point tracking (MPPT) algorithms. However, the capability of tracking MPP under rapidly changing solar insolation level by different MPPT algorithm is not satisfactory. In present work, a comparison has been made among three different MPPT algorithm namely, perturb and observe (P&O), incremental conductance method and fuzzy logic based algorithm in tracking maximum power under partial shading conditions of two series connected 2.1 kWp pv arrays interfaced with a DC-DC boost converter.
机译:遏制全球变暖并同时满足不断增长的电能需求已成为印度等发展中国家的挑战。不加控制地使用化石燃料会导致温室气体排放和严重的环境退化。使用非常规能源,例如光伏(pv)太阳能是维持能源部门可持续发展的必要条件。一个共同的目标是使用不同的最大功率点跟踪(MPPT)算法从光伏电源中提取最大可用功率。但是,通过不同的MPPT算法在日照水平快速变化的情况下跟踪MPP的能力并不令人满意。在目前的工作中,已经比较了三种不同的MPPT算法,即扰动和观察(P&O),增量电导方法和基于模糊逻辑的算法,该算法在部分遮蔽条件下跟踪两个串联的2.1 kWp PV阵列的最大功率。 DC-DC升压转换器。

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