scholarly journals Detection and control of power loss due to soiling and faults in photovoltaic solar farms via wireless sensor network

2018 ◽  
Vol 7 (2) ◽  
pp. 718 ◽  
Author(s):  
Ahmed Abid ◽  
Adel Obed ◽  
Fawzi Al-Naima

Solar photovoltaic (PV) farm output power is highly related to the panel conditions. Soiling causes faults in the PV panels leading to a dras-tic reduction in the system efficiency. In vast solar PV farms, the detection of faults in an individual PV panel is a difficult task since it is usually done manually. In this research, a new design is proposed to detect the production of individual PV panel automatically and periodically to evaluate the condition of each panel in the farm no matter how it is connected in the array. The proposed design allows the user to measure the open circuit voltage (VOC), the short circuit current (ISC) and the delivered power for each PV panel in the farm. It is also capable of controlling each panel to work at the maximum power point using a built in Maximum Power Point Tracking (MPPT) sub-circuit on each solar panel. The presented system depicts a complete wireless sensor network, which does not need any extra wiring and is character-ized by being of low cost, reliable and efficient.

Author(s):  
Boubakeur Hamlili ◽  
Khelifa Benahmed ◽  
Brahim Gasbaoui

This paper deals with the Wireless Sensor Network comportment in the south west region precisely Bechar city. Algeria has the highest technical and economic potentials for solar power exploitation in the Middle East and North Africa region. In this paper, the focus is on the behaviour of Wireless Sensor Network (WSNs) supplied by solar panel PV connected to node via boost converter (DC/DC) controlled by maximum power point tracking (MPPT) technique, using the incremental conductance (IC) algorithm to extract maximum power. In Our present work, many tests were carried out. The WSNs are examined under sever and different temperature and irradiation variation. The obtained result is satisfactory for our (WSNs) simulated in a MATLAB / SIMULINK environment. The performances of the proposed strategy controller give a satisfactory simulation results.


Author(s):  
M. Vaigundamoorthi ◽  
R. Ramesh ◽  
V. Vasan Prabhu ◽  
K. Arul Kumar

Solar PV power generation has achieved rapid growth in developing countries which has many merits such as absence of noise, longer life, no pollution, less time for installation, and ease of grid interface. A maximum power point tracking circuit (MPPT) consists of DC-DC power electronics converters that are used to improve the energy attainment from solar PV array. This paper presents a detailed analysis to control of chaos, a non-linear dynamic in SEPIC DC-DC converter interfaced solar PV system, to minimize the oscillations near to MPP. In SEPIC DC-DC converter, the input inductor current is continuous and capable of sweeping the whole I-V curve of a PV module from open circuit voltage (Voc) to short circuit current (Isc) operating points. To trace the true maximum power point and to nullify the oscillations near to MPP, the yield output voltage needs to ensure period-1 operation.


Author(s):  
Mohammed Salah Bouakkaz ◽  
◽  
Ahcene Boukadoum ◽  
Omar Boudebbouz ◽  
Issam Attoui ◽  
...  

In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm


Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 321 ◽  
Author(s):  
Dmitry Baimel ◽  
Saad Tapuchi ◽  
Yoash Levron ◽  
Juri Belikov

This paper proposes two new Maximum Power Point Tracking (MPPT) methods which improve the conventional Fractional Open Circuit Voltage (FOCV) method. The main novelty is a switched semi-pilot cell that is used for measuring the open-circuit voltage. In the first method this voltage is measured on the semi-pilot cell located at the edge of PV panel. During the measurement the semi-pilot cell is disconnected from the panel by a pair of transistors, and bypassed by a diode. In the second Semi-Pilot Panel method the open circuit voltage is measured on a pilot panel in a large PV system. The proposed methods are validated using simulations and experiments. It is shown that both methods can accurately estimate the maximum power point voltage, and hence improve the system efficiency.


2021 ◽  
Vol 19 ◽  
pp. 598-603 ◽  
Author(s):  
C.B. Nzoundja Fapi ◽  
◽  
P. Wira ◽  
M. Kamta ◽  

To substantially increase the efficiency of photovoltaic (PV) systems, it is important that the Maximum Power Point Tracking (MPPT) system has an output close to 100%.This process is handled by MPPT algorithms such as Fractional Open-Circuit Voltage (FOCV), Perturb and Observe (P&O), Fractional Short-Circuit Current (FSCC), Incremental Conductance (INC), Fuzzy Logic Controller (FLC) and Neural Network (NN) controllers. The FSCC algorithm is simple to be implemented and uses only one current sensor. This method is based on the unique existence of the linear approximation between the Maximum Power Point (MPP) current and the short-circuit current in standard conditions. The speed of this MPPT optimization technic is fast, however this algorithm needs to short-circuit the PV panel each time in order to obtain the short circuit current. This process leads to energy losses and high oscillations. In order to improve the FSCC algorithm, we propose a method based on the direct detection of the shortcircuit current by simply reading the output current of the PV panel. This value allows directly calculating the short circuit current by incrementing or decrementing the solar irradiation. Experimental results show time response attenuation, little oscillations, power losses reduction and better MPPT accuracy of the enhanced algorithm compared to the conventional FSCC method.


2019 ◽  
Author(s):  
Saad Motahhir ◽  
Abdelaziz El Ghzizal ◽  
Aziz Derouich

The objective of this work is to make a model of photovoltaic cells (PV) dedicated to teaching renewable energy using PSIM software. This model is based on ratings provided by the manufacturer as: open circuit voltage, short circuit current, voltage and current corresponding to the maximum power point. So the resulting model has a better approach and takes into account the influence of different physical parameters including temperature, irradiation, series resistance, shunt resistance and saturation current of the diode. After a general presentation of the photovoltaic conversion chain, the article details, at first, the modeling of a photovoltaic panel. Secondly, we focus on the implementation of a MPPT command for controlling the DC / DC to operate the PV array at maximum power (MPP).


Author(s):  
Milad Samady Shadlu

Background: Using the solar energy by photovoltaic arrays is constantly increasing and has been considered as one of the cleanest sources of energy in recent years. One of the ways to reduce the cost of photovoltaic systems is to maximize the power delivered to the load. On the other hand, changing the load leads to change the operating point of the solar conversion system and causes deviation from the maximum power point (MPP). Methods: For this reason, in various research studies, attention has been paid to MPPT methods applicable in photovoltaic systems. In this paper, a comparison is performed between conventional MPPT methods including Perturb and Observe (P&O), Incremental Conductance (INC), Fractional Open Circuit Voltage (FOCV), Ripple Correlation Control (RCC) and Extremum Seeking Control (ESC). Only current and voltage parameters of the PV panel are measured instantly and used to generate control signals. However, the output voltage of the PV cells is relatively low without using the DC-DC converters. Results: Therefore, high-performance DC-DC converters need to convert the low voltage PV arrays into high DC voltages to handle the 220 VAC systems. Conclusion: Accordingly, in this study, conventional DC-DC converters including Boost, Buck and Buck-Boost converters are investigated, and each of them is simulated using different MPPT controllers and the results are compared together. It is worth noting that all of the simulations are carried out using MATLAB/Simulink.


2021 ◽  
Vol 54 (6) ◽  
pp. 847-852
Author(s):  
Asadi Suresh Kumar ◽  
Vyza Usha Reddy

One of the major concerns for continuous solar photovoltaic (PV) generation is partial shading. The movement of clouds, shadow of buildings, trees, birds, litter and dust, etc., can lead to partial shadow conditions (PSCs). The PSCs have caused inconsistent power losses in the PV modules. This leads to a shortage of electricity production and the presence in the PV curve of several peaks. One of the simplest solutions to PSC’s is the PV configurations. The objective of this paper is modelling and simulation of solar PV system in various shading scenarios for KC200GT 200 W, 5 x 5 configurations that includes Series/Parallel (SP), Total-Cross-Tied (TCT), Triple-Tied (TT), Bridge-Link (BL) configurations. Real time PSC’s such as corner, center, frame, random, diagonal, right side end shading conditions are evaluated under all PV array configurations. A comparative analysis is carried out for the parameters such as open circuit voltage, short circuit current, maximum power point, panel mismatch losses, fill factor, efficiency under all PV configurations considering PSC’s. From the comparison analysis best configuration will be presented.


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