Prediction of Solar Photovoltaic/Thermal Collector Power Output Using Fuzzy Logic

2018 ◽  
Vol 140 (6) ◽  
Author(s):  
M. Sridharan ◽  
G. Jayaprakash ◽  
M. Chandrasekar ◽  
P. Vigneshwar ◽  
S. Paramaguru ◽  
...  

In recent years, solar PV/T water collectors have been identified as one of the most promising hybrid devices. It is a combination of solar photovoltaic (PV) and solar flat plate collector (FPC) systems capable of generating electrical and thermal power simultaneously. This study presents a model which predicts solar PV/T collector power output using fuzzy logic techniques. A fuzzy logic model was established to predict power output of PV/T with respect to changes in input process and FPC output power. Membership functions were allocated in connection with each model input. Experimental tests conducted during the month of December 2016 are compared with the developed fuzzy model to verify predicted results. The results indicate an agreement between fuzzy model and experimental results with an accuracy of 94.38% and error of 5.62%.

Author(s):  
P. Justin Raj ◽  
V. Vasan Prabhu ◽  
K. Premkumar

This paper presents the solar powered charging control of lithium-ion battery. The flyback converter is used to extract the maximum power from the solar photovoltaic (PV) array and charge the battery. This paper also presents the fuzzy logic-based battery management system to protect the batteries due to overcharging and over-discharging conditions. The proposed method is designed and developed in the MATLAB/Simulink platform. Solar PV powered battery system is tested for step change in irradiance conditions and corresponding results are measured and analyzed. The effectiveness of the fuzzy logic-based battery management system is also presented. The simulation model for BMS technique has overall efficiency of 95.1%. In order to verify the effectiveness of the proposed system, experimental verification of the proposed method is implemented in real time and compared with simulation results.


2020 ◽  
Vol 6 (12) ◽  
pp. 5-12
Author(s):  
Usha Verma ◽  
N K Singh

Worldwide renewable energy resources, especially solar energy, are growing dramatically in view of energy shortage and environmental concerns. Large-scale solar photovoltaic (PV) systems are typically connected to medium voltage distribution grids, where power converters are required to convert solar energy into electricity in such a grid-interactive PV system. This study are designing of solar energy system in MATLABSIMULINK environment which can be integrated with the grid for its efficient operation. The grid integration is necessary to ace the system reliable under various environmental conditions. Enhancing the DC input voltage to the inverter so that in its aspect the AC output from the inverter is also enhanced. And designing of a universal bridge inverter and AI based intelligent control for it such that it enhances the power output from the solar PV system. Designing of efficient rules for the inverter control using FUZZY algorithm. This work proposes an optimized active power enhancement method and evaluates the effect of fuzzy based controller for power enhancement on system reliability and power quality in the grid-interactive PV system with cascaded converter modules. Fuzzy set of rules are defined in a manner such that it is proved to be effective in enhancing the current output keeping the grid voltage same and hence the power output from the systems of cascaded PV modules. it can be concluded that if designing a cascaded PV solar system it is possible to increase the active power output from the inverter just by using fuzzy set of rules for firing pulses in the inverter.


This research paper presents Maximum PowerPoint Tracking method used in solar photovoltaic grid connected PV system under different solar radiation and temperature. As because the output of the PV panel is non- linear hence current and voltage of the solar PV panel behaves as a non-linear characteristic which ultimately depends upon environmental parameter and thereby causing change is maximum output power of the PV panel. At different environmental condition the solar photovoltaic set its MPP. In order to operate the PV system at different MPP so as to extract the maximum available power it is required to control the buck-boost converter proportional to the output level of the PV panel. In this paper fuzzy logic based MPPT has implemented whose output is fed to the boost converter for increasing the efficiency of the system. PI controller is used as a current control technique for obtaining satisfactory performance. The goal of this paper is to achieve higher efficiency from solar photovoltaic system by operating the system at its MPP. MATLAB Simulink is used to model the solar photovoltaic system. The result obtained fro the simulation can be implemented in Homer for optimizing the fuel cost


2012 ◽  
Vol 57 (4) ◽  
pp. 843-860
Author(s):  
Tomo Benović ◽  
Igor Miljanović ◽  
Slobodan Vujić

Abstract The paper presents one of the possible approaches to fuzzy logic modeling of coal cleaning in autogenous suspension. In the scope of reviewing the problem in general, the process algorithm and the structural model of coal cleaning were set up. The paper deals with the flow of fuzzy logic model creation following the example of coal cleaning plant of the “Bogutovo selo” open pit mine of the Mine and Thermal Power Plant Ugljevik. The model is set up on the MATLAB software platform. Fuzzy model testing results, presented at the end of paper confirms applicability and reliability of the model. The discrepancies between the model and the real process parameters are within the limits of allowed industrial error.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 15914-15928
Author(s):  
Ridha Ben Mansour ◽  
Meer Abdul Mateen Khan ◽  
Fahad Abdulaziz Alsulaiman ◽  
Rached Ben Mansour

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2308
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera

Partial shading affects the energy harvested from photovoltaic (PV) modules, leading to a mismatch in PV systems and causing energy losses. For this purpose, differential power processing (DPP) converters are the emerging power electronic-based topologies used to address the mismatch issues. Normally, PV modules are connected in series and DPP converters are used to extract the power from these PV modules by only processing the fraction of power called mismatched power. In this work, a switched-capacitor-inductor (SCL)-based DPP converter is presented, which mitigates the non-ideal conditions in solar PV systems. A proposed SCL-based DPP technique utilizes a simple control strategy to extract the maximum power from the partially shaded PV modules by only processing a fraction of the power. Furthermore, an operational principle and loss analysis for the proposed converter is presented. The proposed topology is examined and compared with the traditional bypass diode technique through simulations and experimental tests. The efficiency of the proposed DPP is validated by the experiment and simulation. The results demonstrate the performance in terms of higher energy yield without bypassing the low-producing PV module by using a simple control. The results indicate that achieved efficiency is higher than 98% under severe mismatch (higher than 50%).


2021 ◽  
Vol 13 (11) ◽  
pp. 6364
Author(s):  
June Raymond L. Mariano ◽  
Yun-Chuan Lin ◽  
Mingyu Liao ◽  
Herchang Ay

Photovoltaic (PV) systems directly convert solar energy into electricity and researchers are taking into consideration the design of photovoltaic cell interconnections to form a photovoltaic module that maximizes solar irradiance. The purpose of this study is to evaluate the cell spacing effect of light diffusion on output power. In this work, the light absorption of solar PV cells in a module with three different cell spacings was studied. An optical engineering software program was used to analyze the reflecting light on the backsheet of the solar PV module towards the solar cell with varied internal cell spacing of 2 mm, 5 mm, and 8 mm. Then, assessments were performed under standard test conditions to investigate the power output of the PV modules. The results of the study show that the module with an internal cell spacing of 8 mm generated more power than 5 mm and 2 mm. Conversely, internal cell spacing from 2 mm to 5 mm revealed a greater increase of power output on the solar PV module compared to 5 mm to 8 mm. Furthermore, based on the simulation and experiment, internal cell spacing variation showed that the power output of a solar PV module can increase its potential to produce more power from the diffuse reflectance of light.


Sign in / Sign up

Export Citation Format

Share Document