Abstract

Due to the broad needs for energy as market demands, searching on how to improve the efficiency of the PV systems is an essential concern for researchers to worry about. So, it is crucial to force the PV system to work at its peak power point in order to get the maximum available power from the photovoltaic panel. This paper presents a comprehensive comparison between four Maximum Power Point Tracking (MPPT) Algorithms; Perturb and Observe (P&O), Incremental Conductance (INC), Modified Variable Step Size Perturb and Observe (M-VSS-P&O) and Modified Variable Step Size Incremental Conductance (M-VSS-INC) by using of the DC-DC boost converter for three different kinds of solar cells. These cells are polycrystalline KC200GT cell, monocrystalline shell SQ85 cell and thin film shell ST40 cell. Simulations have been performed using MATLAB-SIMULINK for the three types of solar cells to investigate their performance under both standard test conditions (STC) and slowly varying and sudden changes in solar irradiance. The study has considered the response time, output power efficiency and steady-state-oscillations. The simulation results of the modified algorithms show an improvement in the cell performance in steady state conditions, tracking time and boost converter efficiency as well as an enhancement in the dynamic response in tracking the maximum power point (MPP) in varying climatic conditions over conventional algorithms.

中文翻译：

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改进的MPPT算法的应用：不同类型的太阳能电池之间的比较研究

摘要

由于市场需求对能源的广泛需求，研究如何提高光伏系统的效率是研究人员担心的基本问题。因此，至关重要的是迫使光伏系统在其峰值功率点工作，以便从光伏面板获得最大可用功率。本文对四种最大功率点跟踪（MPPT）算法进行了全面比较。通过使用DC-DC升压转换器，扰动和观测（P＆O），增量电导（INC），修改的可变步长大小扰动和观测（M-VSS-P＆O）和修改的可变步长增量电导（M-VSS-INC）用于三种不同类型的太阳能电池。这些电池是多晶KC200GT电池，单晶壳SQ85电池和薄膜壳ST40电池。使用MATLAB-SIMULINK对这三种类型的太阳能电池进行了仿真，以研究它们在标准测试条件（STC）以及太阳辐照度的缓慢变化和突然变化下的性能。该研究考虑了响应时间，输出功率效率和稳态振荡。改进算法的仿真结果表明，与传统算法相比，在稳态条件下电池性能得到了改善，跟踪时间和升压转换器效率得到提高，并且在变化的气候条件下跟踪最大功率点（MPP）时动态响应得到了增强。输出功率效率和稳态振荡。改进算法的仿真结果表明，与传统算法相比，在稳态条件下电池性能得到改善，跟踪时间和升压转换器效率得到改善，并且在变化的气候条件下跟踪最大功率点（MPP）时动态响应得到了增强。输出功率效率和稳态振荡。改进算法的仿真结果表明，与传统算法相比，在稳态条件下电池性能得到了改善，跟踪时间和升压转换器效率得到提高，并且在变化的气候条件下跟踪最大功率点（MPP）时动态响应得到了增强。