scholarly journals A Study of Shading Effect on Photovoltaic Modules with Proposed P&O Checking Algorithm

Author(s):  
Rozana Alik ◽  
Awang Jusoh ◽  
Tole Sutikno

<p>Sun irradiation levels and associated temperature changes are the main factors that influence the conversion of solar energy into electricity. Most energy is produced during a hot sunny day as the sun irradiation is at the maximum level and uniform throughout the solar photovoltaic (PV). However, most solar PV were frequently get shadowed, completely or partially, by the neighbouring buildings, trees and passing clouds. Consequently, the solar PV has lower voltage and current output; hence, multiple maximum power points (MPP) are existed on the PV curve, which could cause confusion to the conventional Maximum Power Point Tracker (MPPT) to track the true MPP for the PV system. Thus, it is important to examine the impacts of partial shading on the solar PV in order to extract the maximum possible power. This paper presents a MATLAB-based modelling for simulation and experimental setup to study the I-V and P-V characteristics of a solar module under a non-uniform irradiation due to partial shading condition (PSC).  Furthermore, this study is also proposed an effective method (a variable step size of P&amp;O with checking algorithm) that is low cost and higher tracking efficiency. Thus, this study is essential in improving and evaluating any new MPPT algorithm under the PSC.</p>

2022 ◽  
Vol 12 (2) ◽  
pp. 587
Author(s):  
Sajid Sarwar ◽  
Muhammad Yaqoob Javed ◽  
Mujtaba Hussain Jaffery ◽  
Jehangir Arshad ◽  
Ateeq Ur Rehman ◽  
...  

Photovoltaic (PV) system has been extensively used over the last few years because it is a noise-free, clean, and environmentally friendly source of energy. Maximum Power Point (MPP) from the PV energy systems is a challenging task under modules mismatching and partial shading. Up till now, various MPP tracking algorithms have been used for solar PV energy systems. Classical algorithms are simple, fast, and useful in quick tracing the MPP, but restricted to uniform weather conditions. Moreover, these algorithms do not search the Global Maxima (GM) and get stuck on Local Maxima (LM). However, bio-inspired algorithms help find the GM but their main drawback is that they take more time to track the GM. This paper addresses the issue by using the combination of conventional Incremental Conductance (InC) with variable step size and bio-inspired Dragonfly Optimization (DFO) algorithms leading to a hybrid (InC-DFO) technique under multiple weather conditions, for instance, Uniform Irradiance (UI), Partial Shading (PS), and Complex Partial Shading (CPS). To check the robustness of the proposed algorithm, a comparative analysis is done with six already implemented techniques. The results indicate that the proposed technique is simple, efficient with a quicker power tracking capability. Furthermore, it reduces undesired oscillation around the MPP especially, under PS and CPS conditions. The proposed algorithm has the highest efficiencies of 99.93%, 99.88%, 99.92%, and 99.98% for UI, PS1, PS2, and CPS accordingly among all techniques. It has also reduced the settling time of 0.75 s even in the case of the CPS condition. The performance of the suggested method is also verified using real-time data from the Beijing database.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4668 ◽  
Author(s):  
Maissa Farhat ◽  
Oscar Barambones ◽  
Lassaâd Sbita

This paper presents a complete study of a standalone photovoltaic (PV) system including a maximum power tracker (MPPT) driving a DC boost converter to feed a resistive load. Here, a new MPPT approach using a modification on the original perturb and observe (P&O) algorithm is proposed; the improved algorithm is founded on a variable step size (VSZ). This novel algorithm is realized and efficiently implemented in the PV system. The proposed VSZ algorithm is compared both in simulation and in real time to the P&O algorithm. The stability analysis for the VSZ algorithm is performed using Lyapunov’s stability theory. In this paper, a detailed study and explanation of the modified P&O MPPT controller is presented to ensure high PV system performance. The proposed algorithm is practically implemented using a DSP1104 for real-time testing. Significant results are achieved, proving the validity of the proposed PV system control scheme. The obtained results show that the proposed VSZ succeeds at harvesting the maximum power point (MPP), as the amount of harvested power using VSZ is three times greater than the power extracted without the tracking algorithm. The VSZ reveals improved performance compared to the conventional P&O algorithm in term of dynamic response, signal quality and stability.


2019 ◽  
Vol 16 (2) ◽  
pp. 740-744
Author(s):  
R. Geethamani ◽  
C. Pavithra ◽  
B. Niranjana ◽  
V. Gomathy ◽  
P. Chitra

A Variable step size Incremental resistance algorithm for PV system was designed for maximum power point tracking. The outputs are generated with help of MATLAB/SIMLUNK. The performance of the PV system for partial shading condition was observed. The output for the system was found to be more efficient and attains stability much faster than any other controller. The power output can be controlled by varying the scaling factor.


2018 ◽  
Vol 2 (2) ◽  
pp. 86 ◽  
Author(s):  
Hamza Bahri ◽  
Abdelghani Harrag

In this paper, a variable step size P&O algorithm is used in order to improve the performance of a photovoltaic system in both dynamic and static plans. The efficiency of the proposed algorithm has been investigated successfully using the BP SX150S solar module connected to the DC-DC derived by a P&O MPPT algorithm. The comparative study results of both conventional fixed step size and the proposed variable step size P&O algorithms prove the effectiveness of the proposed algorithm compared to the standard fixed step size PO MPPT. The proposed algorithm reduces response time between 13.86% and 45.28% and the steady state oscillation between 83.33% and 100% leading to less power loss especially in case of fast changing atmospheric conditions.  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


2013 ◽  
Vol 740 ◽  
pp. 164-169
Author(s):  
Li Ping Zhang ◽  
Yao Fu Zhu ◽  
Zhong Fan

The maximum power point tracking (MPPT) control implements an effective utilization of solar energy. On the basis of the equivalent mathematical model of the photovoltaic (PV) array, presents the fixed step size perturbation and observation method, which has considerable power loss and poor adaptability. Because the existing variable step size control is complex, a fuzzy algorithm controller was designed according to the power variation and the previous step of the duty cycle, which could adjust the duty cycle of PWM dynamically, to make the PV system impedance matching and obtain the maximum power rapidly and steadily. The simulation shows that the self-optimizing fuzzy control can achieve good adaptability and good robustness when the parameters change.


2018 ◽  
Vol 12 (1) ◽  
pp. 34-38
Author(s):  
Halil Erol ◽  
Mahmut Uçman

The Power-Voltage characteristic of a photovoltaic (PV) array exhibits non-linear behaviour when exposed to uniform solar irradiance. Maximum Power Point (MPP) tracking is challenging due to the varying climatic conditions in a solar PV system. Moreover, the tracking algorithm becomes more complicated due to the presence of multiple peaks in the power voltage characteristics under the condition of partial shading. This research is devoted to the Stochastic Beam Search (SBS) based algorithm and Stochastic Hill Climbing (SHC) for a maximum power point tracking (MPPT) at a partial shading condition in the PV system. To give a partial shading effect over the entire array of a PV system, a mast is placed in front of the modules. The modules in the array are connected in such a way that one does not need to rewire the electrical connection during the rearrangement of modules. It is validated that the power generation performance of an array under a moving shading condition is increased. Furthermore, it is observed that the SHC method outperforms the SBS method in the MMP tracking.


Author(s):  
Jae-Hoon Cho ◽  
◽  
Jin-Il Park ◽  
Won-Pyo Hong ◽  
Myung-Geun Chun ◽  
...  

This paper presents a variable step size incrementalconductance direct Maximum Power Point Tracking (MPPT) method using fuzzy membership for a standalone photovoltaic (PV) system under rapidly changing irradiation. MPPT techniques have been widely applied in PV systems to make a PV array generate maximum power, which depends on solar irradiation. In most applications of MPPT technologies, MPPT algorithm design methods are performed and tested under slowly changing atmospheric conditions such as irradiation and temperature. The short-term effect under rapidly changing irradiation should be considered, however, to improve the dynamic performance of PV system. Our proposed MPPT method is based on an incremental conductance algorithm with a direct control scheme that can directly adjust the duty cycle for the PI controller. A fuzzy membership function is adopted to determine the variable step size according to rapidly changing irradiation. The proposed methods thus has not only faster dynamic performance but also high tracking accuracy. In order to show the effect of the proposed method, the simulation model and proposed MPPT is designed with MATLAB/Simpower and simulated with MATLAB/Stateflow.


2019 ◽  
Vol 8 (4) ◽  
pp. 12599-12605

There are different MPPT techniques to track the maximum power point. When a PV system is directly connected to the load the operating point seldom lies in the maximum power point, whereas it lies at some other point. Thus the effective utilization of PV cannot be done. But using MPPT techniques the system is always made to operate at peak point irrespective of any changes in atmospheric condition. The Proposed method gives better result in terms of output power and hence efficiency of the converter. This method is a tradeoff between steady state accuracy and dynamic tracking by using variable step size instead of fixed step size as like P and O method. The system gives very poor performance when connected directly without mppt. An experimental analysis was conducted to validate the effectiveness of the proposed MPPT method. The proposed method was compared with the conventional Perturb and Observance method and was found that for every environmental conditions like, change in irradiance, angle of tilt, shading, soiling, colour filter, mounting the proposed method gives better power output and efficiency than P and O method. Hardware testing is done to analyze the method.


2011 ◽  
Vol 347-353 ◽  
pp. 1044-1048
Author(s):  
Yun Yun Chen ◽  
Jun Ji Wu ◽  
Zhan Feng Ying

Considering the fact that when the cell temperature and solar insolation change rapidly, traditional variable step size(VSS) perturbation and observation(P&O) methods exist the defects that their tracking speed is relatively slow, there is small power oscillation around MPP(Maximum Power Point) and even some of them exist the situation of tracking unsuccessfully. This paper proposes a MPPT(Maximum Power Point Tracing) technology based on adaptive area algorithm. The simulation model of PV system is established by MATLAB. The simulation results show that the proposed method can track the MPP fast and accurately, and ensure the steady state characteristics of PV systems even when the climate conditions change rapidly. It effectively overcomes the defects of traditional variable step size perturbation and observation methods.


2011 ◽  
Vol 383-390 ◽  
pp. 1111-1116
Author(s):  
Yuan Xiao Ling ◽  
Wang Chuang ◽  
Li Shi Jun

In Photovoltaic (PV) system, the output characteristic of PV cell is susceptible to external environment, such as temperature, light radiation etc, and showing obvious nonlinear. Therefore, in order to improve the efficiency of PV system, the maximum power point tracking (MPPT) of PV cell is essential. This paper mainly introduces the simulation of PV cell and the methods commonly used in Maximum Power Point Tracking of PV system. For the perturbation and observation (P&O) method the paper presents a new variable step size algorithm and builds a simulation model. The result shows that the proposed algorithm has a better effect on maximum power point tracking of PV cell.


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