Buck-Boost变换器中基于摄动观察(P&O)和增量电导(InC)算法的MPPT模糊控制器比较

2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI) Pub Date : 2018-10-01 DOI:10.1109/ICon-EEI.2018.8784324

Azmi Saleh, K.S Faiqotul Azmi, T. Hardianto, Widyono Hadi

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引用次数: 13

摘要

光伏发电(PV)产生的电能很大程度上取决于天气条件和接收到的太阳辐照量。采用最大功率点跟踪(MPPT)模糊控制器增加光伏发电功率。在本研究中，比较了两种类型的模糊逻辑控制器的性能，即摄动和观察(P&O)和增量电导(InC)。利用Simulink、Matlab和模糊逻辑控制进行了仿真研究。Buck-boost转换器用于控制从光伏板到负载的功率流。通过设置降压-升压变换器的占空比值来获得最大功率。基于两种算法的仿真结果，增量电导算法能够更好更快地跟踪模块的最大功率。模块的最大功率为50.3 W，可通道输出功率为47.25 W。Perturb and Observe算法可以达到模块的最大功率为50.18 W，输出功率为47.13 W。

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Comparison of MPPT Fuzzy Logic Controller Based on Perturb and Observe (P&O) and Incremental Conductance (InC) Algorithm On Buck-Boost Converter

The electrical energy produced by photovoltaic (PV) is very dependent on weather conditions and the amount of solar irradiation received. Maximum power point tracking (MPPT) Fuzzy logic controller is used to increase the power generated by PV. In this study, comparing the performance of fuzzy logic controllers with two types of algorithms, namely, Perturb and Observe (P&O) and Incremental Conductance (InC). The research was carried out with simulations using Simulink Matlab and fuzzy logic control. The Buck-boost converter is used to control the power flow from the PV panel to the load. Maximum power is obtained by setting the value of the duty ratio of the buck-boost converter. Based on the simulation results of the two algorithms, the Incremental Conductance algorithm is able to track the maximum power of the module better and faster. With the maximum power of the module of 50.3 W and the output power that can be channeled at 47.25 W. The Perturb and Observe algorithm is able to reach the maximum power of the module of 50.18 W and the output power of 47.13 W.

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2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI)

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