Abstract:In this paper, a model-based maximum power point tracking (MPPT) technique is presented for a two-stage grid-connected photovoltaic (PV) system, where the loci of the maximum power points (MPPs) is specified accurately based on a new formulation. In this formulation, the effect of both irradiance and temperature is taken into consideration, whereas the irradiance is estimated to reduce the cost of the system and enhance its reliability. Furthermore, constant power generation (CPG) is integrated with the develo… Show more
“…3 , the distribution of MPPs spacing resembles that of open-circuit points. Hence, the MPP can be defined as follows 1 ; Figure 3 P–V characteristics at various radiation level. …”
Section: Proposed System Modellingmentioning
confidence: 99%
“…Renewable energy sources (RESs) are gaining prominence worldwide as a response to urgent environmental challenges caused by fossil fuels. For instance, global warming, the nature destruction, and water contamination that lead to worst climate impacts 1 – 3 . Solar photovoltaic (PV) systems have emerged as a feasible answer to address the increasing global electricity demands.…”
Partial shading of solar panels diminishes their operating efficiency and energy synthesized as it disrupts the uniform absorption of sunlight. To tackle the issue of partial shading in photovoltaic (PV) systems, this article puts forward a comprehensive control strategy that takes into account a range of contributing factors. The proposed control approach is based on using multi-string PV system configuration in place of a central-type PV inverter for all PV modules with a single DC-DC converter. This adaptation enhances overall efficiency across varying radiation levels. Also, the proposed technique minimizes the overall system cost by reducing the required sensors number by utilizing a radiation estimation strategy. The converter switching strategy is synthesized considering direct duty-cycle control method to establish the maximum power point (MPP) location on the P–V curve. The direct duty-cycle tracking approach simplifies the control system and improves the system’s response during sudden partial shading restrictions. To validate the effectiveness of the suggested MPPT method, two system configurations were constructed using MATLAB/SIMULINK software and assessed under various partial shading scenarios. Additionally, a multi-string system was subjected to real irradiance conditions. The sensor-less MPPT algorithm proposed achieved an impressive system efficiency of 99.81% with a peak-to-peak ripple voltage of 1.3V. This solution offers clear advantages over alternative approaches by reducing tracking time and enhancing system efficiency. The system findings undoubtedly support the theoretical scrutiny of the intended technique.
“…3 , the distribution of MPPs spacing resembles that of open-circuit points. Hence, the MPP can be defined as follows 1 ; Figure 3 P–V characteristics at various radiation level. …”
Section: Proposed System Modellingmentioning
confidence: 99%
“…Renewable energy sources (RESs) are gaining prominence worldwide as a response to urgent environmental challenges caused by fossil fuels. For instance, global warming, the nature destruction, and water contamination that lead to worst climate impacts 1 – 3 . Solar photovoltaic (PV) systems have emerged as a feasible answer to address the increasing global electricity demands.…”
Partial shading of solar panels diminishes their operating efficiency and energy synthesized as it disrupts the uniform absorption of sunlight. To tackle the issue of partial shading in photovoltaic (PV) systems, this article puts forward a comprehensive control strategy that takes into account a range of contributing factors. The proposed control approach is based on using multi-string PV system configuration in place of a central-type PV inverter for all PV modules with a single DC-DC converter. This adaptation enhances overall efficiency across varying radiation levels. Also, the proposed technique minimizes the overall system cost by reducing the required sensors number by utilizing a radiation estimation strategy. The converter switching strategy is synthesized considering direct duty-cycle control method to establish the maximum power point (MPP) location on the P–V curve. The direct duty-cycle tracking approach simplifies the control system and improves the system’s response during sudden partial shading restrictions. To validate the effectiveness of the suggested MPPT method, two system configurations were constructed using MATLAB/SIMULINK software and assessed under various partial shading scenarios. Additionally, a multi-string system was subjected to real irradiance conditions. The sensor-less MPPT algorithm proposed achieved an impressive system efficiency of 99.81% with a peak-to-peak ripple voltage of 1.3V. This solution offers clear advantages over alternative approaches by reducing tracking time and enhancing system efficiency. The system findings undoubtedly support the theoretical scrutiny of the intended technique.
“…This modified technique improved both the dc output power and reduced the equilibrium time for reaching the constant state output under variable weather conditions. However in spite of having enhanced steady state response, the system suffers from lack of robustness, training and tuning of membership functions [19]. A novel approach to design an efficient MPPT technique based on sliding mode controller (SMC) is proposed in [20].…”
Most of the conventional Maximum Power Point Tracking (MPPT) Algorithms provide the finest efficiency during uniform irradiation conditions, but under variable irradiation or partial shading condition (PSC), the performance deteriorates and the solar PV system is unable to provide the maximum electricity out of the PV Modules. This degradation in performance is due to the presence of numerous local maximum power points (LMPP) and a solo global maximum power point (GMPP) in the power versus voltage characteristics and the perfect tracking of these LMPP is not possible with the prevailing MPPT algorithms. To eradicate this shortcoming, we have proposed the implementation of an adaptive Fuzzy Logic Controller (FLC) based on Perturb and Observe (P&O) technique by employing a boost converter with variable resistive load under uniform irradiance condition (UIC), dynamic atmospheric conditions (DAC) and PSC in this article. We also demonstrated the usage of a simple and improved P&O algorithm by employing a buck boost converter for faster tracking time. These two suggested approaches of FLC and P&O incorporate a variable load scenario and a stable load scenario respectively to address the problem of output voltage oscillation in a PV-based system. The FLC is designed to adjust the dynamic change in step size based on the rate of change of the yield power of the PV panel to reduce oscillations in output of the boost converter and the PV system. According to the results of this analysis, the recommended FLC-based P&O (FLC-P&O) algorithm outperforms the proposed P&O algorithm under DAC and PSC with respect to tracking speed, steady-state error, and dynamic response. Apparently, it can be concluded that the proposed FLC-P&O technique can be applicable to real-time systems for reliable and efficient operation of the boost converter and add to the stability and simplicity of the contemporary PV-based systems.
“…However, operating SPPs at the MPP is a very challenging task because they have nonlinear current–voltage ( I – V ) and power–voltage ( P – V ) characteristics depending on environmental conditions 4–7 . To cope with this situation and assure stability, the proposed effective approach can be defined as two‐stage control scheme 8,9 . First, the MPP of PV module is determined.…”
Section: Introductionmentioning
confidence: 99%
“…[4][5][6][7] To cope with this situation and assure stability, the proposed effective approach can be defined as two-stage control scheme. 8,9 First, the MPP of PV module is determined. In the second stage, the maximum output power to the reference power is regulated.…”
The conventional angle of incremental conductance (AIC) method fails to track the maximum power point (MPP) when a rapid change in solar irradiation and/or panel temperature appears because it cannot distinguish between rapid changes in photovoltaic (PV) current and voltage under real environmental conditions. The present study describes setbacks of the conventional AIC method and proposes an effective approach based on the combination of AIC and type‐2 fuzzy. The proposed approach offers a significant advantage in terms of maximum power transfer to the load under long‐term weather patterns under which broken clouds appear frequently during a 40‐m testing period. The proposed approach is installed on 250 W module of a 10 kWp real PV plant in Kahramanmaras Sutcu Imam University. Later, its performance is validated by dSPACE1104 controller card operating in real time with MATLAB/Simulink tools using daily measured data. The experimental results obtained from the laboratory setup based on dSPACE1104 controller card demonstrate the facility and feasibility of the proposed approach for real PV plant with boost power converter and load.
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