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- Derleme MakaleYalnız künye2022Scopus SJRQ1Comprehensive review on distributed maximum power point tracking: Submodule level and module level MPPT strategies
Başoğlu, Mustafa Engin
Maximum power point tracking (MPPT) procedure in photovoltaic (PV) systems can be realized with many different methods. Especially in arrays consisting of PV modules (PVMs) connected in series; the maximum power point (MPP) may change due to partial shading conditions (PSC), aging, degradation, fabrication production differences etc. In addition, even in small power systems containing a single PVM, the difference in shading and irradiation between submodules affects the maximum power potential of the PVM. In this study, power electronics-based power processing methods in distributed MPPT (DMPPT) systems are emphasized. Power electronics-based hardware MPPT solutions are examined in two groups as full power processing (FPP) and differential power processing (DPP). In addition, commercially available power optimizers have been examined under many criteria. The literature on the subject has been analyzed in a broad perspective, and it has been comprehensively evaluated according to criteria such as power processing level, converter configuration, MPPT algorithm, MPPT application level and control approaches. This study is an important guide for scientists and hardware engineers doing academic studies on the subject. This study, which examines the topologies and control approaches used in application-oriented studies, has the feature of triggering future studies. The features that commercial power optimizers should have and the examination of the products in the market within the framework of some criteria is one of the original aspects of the study. It is expected that this study will contribute to the PV industry in building applied and building integrated studies, where extreme shading scenario occurs.
AtıfScopus62WoS41OpenAlex56İncele - MakaleAçık Erişim2022Scopus SJRQ2Comparison of deep learning and regression-based MPPT algorithms in PV systems
Karabi̇Naoğlu, Murat Salim; Çakir, Bekir; Başoğlu, Mustafa Engin; Kazdaloğlu, Abdülvehhab; Güneroğlu, Aziz
Solar energy systems (SES) and photovoltaic (PV) modules should be operated at the maximum power point (MPP) to achieve the highest efficiency in the energy generation processes. Maximum power point tracking (MPPT) applications using conventional methods may not be able to follow the global MPP (GMPP) of the PV system under changing atmospheric conditions and they could oscillate around the local MPP. In this study, a machine learning and deep learning (DL) based long short-term memory (LSTM) model is proposed as an innovative solution for MPPT. Contrary to the traditional MPPT applications using current and voltage sensors, the output resistance of the PV module estimation was made by using environmental parameters (such as temperature and radiation) and artificial intelligence algorithms in this study.The LSTM model was compared with artificial neural networks (ANN) and regression methods regarding mean square error (MSE), root mean square error(RMSE) and mean absolute error (MAE) parameters. It has been determined that the LSTM model has a better performance and could more successfully follow MPP compared to the other methods. Finally, after the comparison with the ANN method, it is proved that LSTM gives 37%, 21%, and 31% more successful MSE, RMSE, and MAE results, respectively.
AtıfScopus27WoS18OpenAlex23İncele - BildiriYalnız künye2019Realization of a low cost and fast boost converter based MPPT for PV system
Basoglu, Mustafa Engin
Photovoltaic (PV) modules have a small power conversion efficiency since material technologies used in commercial PV modules is weak and not well developed. In order to provide the maximum available efficiency in a PV module, a power processing unit (PPU) is connected between PV module and load to extract more power from PV modules In other words, DC-DC converters are used for impedance matching between PV module and load in any kind of loading and environmental conditions. Several maximum power point tracking (MPPT) algorithms have been proposed in the literature. But there are still shortcomings to be improved such as reducing the steady state ripples in power, dynamic response time under changing conditions. In this paper, design steps of the boost converter for an MPPT application have been presented and some experiments have been performed. Consequently, a low cost and fast boost converter based MPPT is implemented.
AtıfScopus7WoS1OpenAlex5İncele - MakaleYalnız künye2018Scopus SJRQ3An enhanced scanning-based MPPT approach for DMPPT systems
Başoğlu, Mustafa Engin
In this paper, an improved maximum power point tracking (MPPT) approach being low parameter dependency, simple structure and limited search interval has been presented for distributed MPPT photovoltaic (PV) systems. Basically, this approach is based on scanning of power–voltage (P-V) characteristic curve of PV modules in a limited duty ratio interval which makes tracking operation simple, fast and efficiently available in both uniform irradiance and partial shading conditions (PSCs). By limiting the scanning interval of maximum and minimum values of duty ratio via some analyses related to P-V characteristic for PSCs, global MPPT (GMPPT) is achieved in an efficient way. So as to validate performance of the proposed approach, a single-ended primary inductance converter has been used in both simulation and experimental studies. PV simulator has been used as a PV source to obtain different module characteristics with different number of bypass diodes and PV power levels. Both simulation and experimental results clarify that improved MPPT approach realises GMPPT effectively. Due to the high performance results, this approach can be an alternative technique in module-integrated converters, smart modules and PV power optimisers in which single module is used.
AtıfScopus27WoS23İncele