scholarly journals Experimental Analysis of Factors Affecting the Power Output of the PV Module

2017 ◽  
Vol 7 (6) ◽  
pp. 3190 ◽  
Author(s):  
Arjyadhara Pradhan ◽  
Bhagbat Panda
Keyword(s):  
Power Output ◽  
Fossil Fuels ◽  
Dust Particles ◽  
Pv System ◽  
Factors Affecting ◽  
Pv Module ◽  
The People ◽  
Solar Tracking ◽  
Main Input ◽  
Power Point

Energy is the driving force in all the sectors as it acts like an index of standard of living or prosperity of the people of the country. However heavy dependence on fossil fuels leads to global warming, hence there is a need for the use of clean, sustainable, and eco friendly form of energy. Among the various types of non-conventional energy solar energy is the fundamental as it is abundant, pollution free and universally available.Even though the main input to the PV system is the solar radiation still there are other factors which affects the efficiency of the pv module. In this paper real time experiment has been conducted to analyze the effect of various factors like irradiance, temperature, and angle of tilt, soiling, shading on the power output of the pv module. Temperature is a negative factor which reduces the efficiency of the module and can be reduced by various cooling arrangements. Presence of dust particles and shading obstructs the incident solar radiations entering the panel and the effect is seen in the iv and pv curve .For better performance solar tracking at maximum power point is suggested to improve the power output of the pv module.

A dsPIC Microcontroller Based System Identification of Positive Output Buck Boost Converter for Module Mismatch Application

2015 ◽  
Vol 785 ◽  
pp. 106-110
Author(s):  
M.N.M. Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim ◽  
Kamarulazhar Daud
Keyword(s):  
Direct Method ◽  
Low Cost ◽  
Digital Signal ◽  
Solar Irradiation ◽  
Identification System ◽  
Pv System ◽  
Partial Shading ◽  
Single Output ◽  
Pv Module ◽  
Power Point

An identification system of multiple-input single-output (MISO) model is developed in controlling dsPIC microcontroller of positive output buck-boost (POBB) converters for module mismatch condition of photovoltaic (PV) system. In particular, the possibility of the scheme is to resolve the mismatch losses from the PV module either during shading or mismatch module occurrences. The MPPT algorithm is simplified by identification approach of indirect incorporated with a simple incremental direct method to form a combined direct and indirect (CoDId) algorithms. Irregular consumption of solar irradiation on a PV module shall step-up or step down the voltage regarding to the desired DC output voltage of POBB converter. This optimized algorithm will ensure that the PV module to kept at maximum power point (MPP), preventing power loss during module mismatch incident in PV module especially during partial shading condition. The simulation and laboratory results for PV module of polycrystalline Mitsubishi PV-AE125MF5N indicate that the proposed model and development of PV system architecture performs well, while the efficiency up to 97.7% at critical of low solar irradiance level. The controlling signal is based on low-cost embedded microcontroller of dsPIC30F Digital Signal Control (DSC).

scholarly journals An efficient Mppt approach of PV systems: incremental conduction pathway

2019 ◽  
Vol 15 (3) ◽  
pp. 1189
Author(s):  
Murari Lal Azad ◽  
Pradip Kumar Sadhu ◽  
P Arvind ◽  
Anagh Gupta ◽  
Tuhin Bandyopadhyay ◽  
...  
Keyword(s):  
Integrated System ◽  
Maximum Power ◽  
Operating Point ◽  
Pv System ◽  
Optimal Operating ◽  
Pv Systems ◽  
Simulink Model ◽  
Pv Module ◽  
Conduction Pathway ◽  
Power Point

<p class="Abstract">Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.</p>

scholarly journals Comparative Study of Maximum Power Point Tracking Techniques for Photovoltaic Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Fernando Lessa Tofoli ◽  
Dênis de Castro Pereira ◽  
Wesley Josias de Paula
Keyword(s):  
Comparative Study ◽  
Fossil Fuels ◽  
Climatic Conditions ◽  
Maximum Power ◽  
Photovoltaic Systems ◽  
Pv System ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point

The generation of electricity from photovoltaic (PV) arrays has been increasingly considered as a prominent alternative to fossil fuels. However, the conversion efficiency is typically low and the initial cost is still appreciable. A required feature of a PV system is the ability to track the maximum power point (MPP) of the PV array. Besides, MPP tracking (MPPT) is desirable in both grid-connected and stand-alone photovoltaic systems because the solar irradiance and temperature change throughout the day, as well as along seasons and geographical conditions, also leading to the modification of theI×V(current versus voltage) andP×V(power versus voltage) curves of the PV module. MPPT is also justified by the relatively high cost of the energy generated by PV systems if compared with other sources. Since there are various MPPT approaches available in the literature, this work presents a comparative study among four popular techniques, which are the fixed duty cycle method, constant voltage (CV), perturb and observe (P&O), and incremental conductance (IC). It considers different operational climatic conditions (i.e., irradiance and temperature), since the MPP is nonlinear with the environment status. PSIM software is used to validate the assumptions, while relevant results are discussed in detail.

scholarly journals Partial Shading Condition on PV Array: Causes, Effects and Shading Mitigation using DSMPPT

2020 ◽  
Vol 9 (3) ◽  
pp. 1134-1139
Keyword(s):  
Duty Cycle ◽  
Power Output ◽  
Solar Panel ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Point

Solar photovoltaic (PV) systems are gaining importance increasingly as it directly converts solar radiation into electrical energy which is renewable and environment friendly. Where it has a numerous advantage, some disadvantages are also there like its dependency on environmental conditions. The power developed by solar panel decreases if it does not get uniform radiation. Sometimes due to nearby buildings, passing clouds etc. PV module might be partially shaded because of which power output of solar panel may get decrease this is called partial shading conditions. It causes significant reduction in the system power output. To overcome this, maximum power point-tracking under partial shading condition by continuous duty cycle variation schemes have been proposed, in which dc–dc boost converters are connected to PV module to enable maximum power extraction. In this paper a new method of Duty Sweep Maximum Power Point Tracking (DSMPPT) has been implanted, which is capable of tracking the Global Maximum Power Point (GMPP) in the presence of other local maxima. The proposed scheme tracks Maximum Power Point (MPP) by continuous variation of converter’s duty cycle without the use of costly components such as signal converters and microprocessors thereby increasing the compactness of the system.

scholarly journals A comparison of two automatic solar tracking algorithms

2020 ◽  
Vol 152 ◽  
pp. 02009
Author(s):  
Motlatsi Lehloka ◽  
James Swart ◽  
Pierre Hertzog
Keyword(s):  
Fuzzy Logic ◽  
Fossil Fuels ◽  
Global Climate ◽  
Clean Energy ◽  
The Sun ◽  
Solar Pv ◽  
Pv System ◽  
Pv Module ◽  
Solar Pv System ◽  
Fixed Axis

Due to global climate change as a result of pollution caused by the burning of fossil fuels, the world has changed its view when it comes to power generation. The focus is now more on natural and clean energy, such as solar PV systems. An effective solar PV system is not a simple system, as the sun is not a stationery object. The sun moves from east to west daily and that makes the design and installation of an effective solar PV system challenging for optimal power harvesting. The purpose of this paper is to compare two algorithms (linear regression and fuzzy logic) that are applied to a dual-axis tracker in order to maximize the output power yield that may be obtained from a fixed-axis system. One fixed-axis PV module serves as the baseline for comparing the results of the dual-axis trackers that are controlled by the two algorithms. A key recommendation is to align a PV module perpendicular to the sun from sunrise to sunset using a control algorithm based on fuzzy logic principles in order to extract the maximum amount of available energy.

scholarly journals A Short-Term Power Output Forecasting Model Based on Correlation Analysis and ELM-LSTM for Distributed PV System

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Deng Yongsheng ◽  
Jiao Fengshun ◽  
Zhang Jie ◽  
Li Zhikeng
Keyword(s):  
Correlation Analysis ◽  
Power Output ◽  
Short Term Memory ◽  
Rank Order ◽  
Influence Factors ◽  
Forecasting Model ◽  
Short Term ◽  
Pv System ◽  
Factors Affecting ◽  
Model Based

Accurate short-term power output forecasting results are conducive to reducing the scheduling difficulty of grid-connected operation of distributed photovoltaic (PV) systems, thus improving the safety and stability of power grid operation. In this paper, a one-day-ahead short-term power output forecasting model based on correlation analysis and combination algorithms for distributed PV system is proposed to solve the problems within the current methods. Firstly, the basic information of distributed PV system is introduced, and the main influence factors affecting the power output of distributed PV system are determined. Secondly, the influence factors with higher correlation with PV output are selected by Spearman rank-order correlation coefficient (SROCC) analysis in multiple timescales. Then, based on the multimodel univariate extreme learning machine (ELM) submodel and the single-model multivariate long short-term memory (LSTM) submodel, the ELM-LSTM model is established. The case study analysis based on the actual data indicates that the ELM-LSTM forecasting model proposed in this paper has higher forecasting accuracy than the traditional forecasting methods.

Harvesting Maximum Power from Mismatch Module of PV System Using PO Buck-Boost Converter

2014 ◽  
Vol 953-954 ◽  
pp. 95-98
Author(s):  
Mohd Najib Mohd Hussain ◽  
Ahmad Maliki Omar ◽  
Intan Rahayu Ibrahim
Keyword(s):  
Code Generation ◽  
Boost Converter ◽  
Maximum Power ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Development Environment ◽  
Model Based ◽  
Pv Module ◽  
Power Point

This paper presents a simulation and laboratory test of Photovoltaic (PV) module incorporated with Positive Output (PO) Buck-Boost Converter for harnessing maximum energy from the solar PV module. The main intention is to invent a system which can harvest maximum power point (MPP) energy of the PV system in string-connection. The model-based design of the controller and maximum power point tracking (MPPT) algorithm for the system were implemented using MATLAB SIMULINK software. For laboratory execution, the digital microcontroller of dsPIC30F digital signal controller (DSC) was used to control the prototype of PO buck-boost converter. The code generation via MPLAB Integrated Development Environment (IDE) from model-based design was embedded into the dsPIC30F using the SKds40A target board and PICkit 3 circuit debugger. The system was successfully simulated and verified by simulation and laboratory evaluations. A physical two PV module of PV-MF120EC3 Mitsubishi Electric is modeled in string connection to represent a mismatch module. While in laboratory process, a string-connection of 10W and 5W PV module is implemented for the mismatch module condition.

scholarly journals Necessity to Design a Controller for PV Module

2020 ◽  
Vol 9 (5) ◽  
pp. 1932-1937
Keyword(s):  
Solar Cell ◽  
Power Output ◽  
Maximum Power ◽  
Atmospheric Conditions ◽  
Solar Cell Performance ◽  
Maximum Power Output ◽  
Point Tracking ◽  
Pv Module ◽  
Input Parameters ◽  
Power Point

Solar power is future of our planet due to the depletion of non-renewable sources of energy. We all are directly dependent on non-renewable source which will only last for 1 or 2 decades. The PV cell exhibit non linear I-V and P-V characteristics. In this paper it is discussed about the factors which will affect the PV module performance. Some factors will decrease the solar cell performance while some factors will improve the efficiency and increase its output power. The performance characteristics of PV module are modeled mathematically and simulated under different atmospheric conditions. The simulation model is obtained using MATLAB software and stimulated under different values of input parameters of PV module that include irradiance and temperature. The variations of these parameters were recorded under different atmospheric conditions. The input parameters of solar cell like solar irradiance and ambient temperature was evaluated. It observed that the maximum power produced fluctuates with both irradiance and temperature. Since the conversion efficiency of PV array is exceptionally low, it requires maximum power point tracking (MPPT) control techniques. The MPPT is the programmed controlled method used to guide the solar cell to achieve the maximum power output, during minute to minute variations of atmospheric changes like irradiance and temperature. The MPPT controller is used to provide maximum power output from PV module against changes in temperature and irradiance. Results obtain by simulation are presented and discussed.

scholarly journals Overview of Maximum Power Point Tracking Techniques for PV System

2021 ◽  
Vol 242 ◽  
pp. 01004
Author(s):  
Khairul Eahsun Fahim ◽  
Shaikh M Farabi ◽  
Shaikh Shahrukh Farhan ◽  
Ishrat Jahan Esha ◽  
Taseen Muhtadi
Keyword(s):  
Fossil Fuels ◽  
Clean Energy ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Wide Range ◽  
Alternative Sources ◽  
Power Point

Fossil fuel is one of the major sources of the world’s energy generation. Greenhouse gases are increasing in the atmosphere due to the excessive use of fossil fuels. To tackle global warming and the shortage of natural gases, researchers are always looking for alternative sources of clean energy. Solar energy is becoming popular due to its inexhaustible nature. To get the most of out of a solar system and to generate maximum power, it is important to operate the panel at maximum power point. In other words, it can be said that MPP techniques are used to maximize the output power. There is a wide range of MPPT algorithm available to calculate MPP. This paper gives a broad overview of the existing MPPT techniques used in practice.

scholarly journals Modelling & Simulation of PV Module Connected with Three-Port DC Converter

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Eahraz Ahmad ◽  
Faizan A Khan ◽  
Prabhat R Sarkar
Keyword(s):  
Energy Source ◽  
Modular Design ◽  
Solar Pv ◽  
Pv System ◽  
Maximum Power Point ◽  
Solar Photovoltaics ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Pv Module ◽  
Power Point

Of the world’s electricity is being generated through conventional sources of energy like coal and atomic energy. People have realized the dire effect of using these fuels, and the amount of CO2 being released into the environment. There has been a shift in emphasis towards cleaner ways of generating electricity in recent years. Solar energy is abundantly available and the cleanest renewable energy source available in the world and is ready to use for a variety of applications, such as the generation of electricity for residential, commercial, or industrial consumption and have become very competitive solutions. It can be seen that there is trend of solar photovoltaics (PV), which has seen rapid growth over the years. The increasing trend of adopting PV system allows consumers to be known as producers or “Prosumers”. This report evaluates how solar PV can be used in combination with a battery bank along with three port converter to fulfill the requirement. Power production from PV cannot be consistent due to factors like the weather although The main benefits of solar power are that it can be easily installed cost of generation is low as there is no requirement for fuel and require very little maintenance Distributed maximum power point tracking (MPPT) and autonomous are achieved with the proposed configuration. The input-port of each TPC is connected to an independent PV energy source to achieve individual MPPT, and the output-ports of these TPCs are connected with load. Fully modular design is achieved by using Simulink/matlab.

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