Fig 3 - uploaded by Mohamed A. Enany
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Simulated I-V curves of a specific solar module, SM55, (a) at different irradiance at 25 O C, (b) at different temperature at 1000 W/m 2 .
Contexts in source publication
Context 1
... main electrical parameters of SM55 PV module used are summarized in Appendix A. The currentvoltage characteristics, shown in Fig. 3, demonstrate that the maximum power point (MPP) of the PV module is influenced by the irradiance (G) and temperature (T) changes and show that either the PV voltage or PV current can represent this point. At a certain operating condition, the control of the MPPT regulates the voltage or current to a value that represent the MPP. The PV ...
Context 2
... main electrical parameters of SM55 PV module used are summarized in Appendix A. The currentvoltage characteristics, shown in Fig. 3, demonstrate that the maximum power point (MPP) of the PV module is influenced by the irradiance (G) and temperature (T) changes and show that either the PV voltage or PV current can represent this point. At a certain operating condition, the control of the MPPT regulates the voltage or current to a value that represent the MPP. The PV ...
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Citations
... After using Battery ESS, PV systems still suffer from nonlinear behavior or maximum power point variation with the climatic conditions, besides low conversion efficiency which is less than 17%. So, it becomes necessary to use the MPPT system to ensure more efficient energy management operation of PV-based Battery Storage Systems [12,13]. The main target of the MPPT is to reach the PV operating voltage close to the MPP under different climatic conditions. ...
... 2) On-line methods or Model-free methods or hill climbing techniques (Perturb and Observe (P&O) and Incremental Conductance (IncCond)) which are based on instantaneous measurements of PV data. Despite climate conditions changes being rapidly detected, oscillations around the MPP are found [12,13]. ...
... The optimal Duty cycle D opt can be estimated by solving Eqs. (4), (5), (10), (12) and (13). Due to the nonlinearity, the complexity of the PV-BSS and ANFIS-based algorithm is to be employed. ...
This paper presents a novel Simulink models with an evaluation study of more widely used On-Line Maximum Power Point tracking (MPPT) techniques for Photo-Voltaic based Battery Storage Systems (PV-BSS). To have a full comparative study in terms of the dynamic response, battery state of charge (SOC), and oscillations around the Maximum Power Point (MPP) of the PV-BSS to variations in climate conditions, these techniques are simulated in Matlab/Simulink. The introduced methodologies are classified into two types; the first type is conventional hill-climbing techniques which are based on instantaneous PV data measurements such as Perturb & Observe and Incremental Conductance techniques. The second type is a novel proposed methodology is based on using solar irradiance and cell temperature measurements with pre- build Adaptive Neuro-Fuzzy Inference System (ANFIS) model to predict DC–DC converter optimum duty cycle to track MPP. Then evaluation study is introduced for conventional and proposed On-Line MPPT techniques. This comparative study can be useful in specifying the appropriateness of the MPPT techniques for PV-BSS. Also the introduced model can be used as a valued reference model for future research related to Soft Computing (SC) MPPT techniques. A significant improvement of SOC is achieved by the proposed model and methodology with high accuracy and lower oscillations.
