Detection of shading effect by using the current and voltage at maximum power point of crystalline silicon PV modules

Solar Energy ◽  
2020 ◽  
Vol 211 ◽  
pp. 1365-1372
Author(s):  
Manit Seapan ◽  
Yoshihiro Hishikawa ◽  
Masahiro Yoshita ◽  
Keiichi Okajima
J ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 32-53 ◽  
Author(s):  
Mohammed Alkahtani ◽  
Zuyu Wu ◽  
Colin Sokol Kuka ◽  
Muflah S. Alahammad ◽  
Kai Ni

Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.


Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1142
Author(s):  
Başoğlu

Photovoltaic (PV) modules experience some partial shading conditions (PSC) due to some various factors. In that kind of a condition, a few maximum power points (MPPs) possibly appear on the power-voltage (P-V) curve, which increases the tracking difficulties. It is known that maximum power point tracking (MPPT) may not be realized by hill climbing (HC) based conventional MPPT algorithms under PSCs. In this context, this paper presents a novel micro converter based algorithm that was developed by using P-V characteristics of PV modules. Unlike voltage or duty ratio scanning techniques, this paper introduces a new deciding method to determine the correct global MPP (GMPP) region. For this, the proposed method uses some duty ratios that were calculated corresponding to each MPP region. Thus, the initialization of duty ratio is done properly, which results in high tracking speed and accurate tracking of the GMPP. The other advantages of the proposed algorithm are structural simplicity, less computational burden, and ease of implementation with a basic microcontroller. The simulation results show that this algorithm has fast tracking capability and it manages to track GMPP for PSCs correctly, since it includes an artificial scanning procedure. Single ended primary inductance converter (SEPIC) is built in order to validate the proposed global maximum power point tracking (GMPPT) algorithm. The performance of the proposed GMPPT technique is verified by experimental studies. The results show that the proposed GMPPT technique is fast by up to five times than an adaptive full scanning strategy and improved IC algorithm. Furthermore, the proposed algorithm can be commercially used in micro converters, since it is compatible with small number of bypass diodes in a module.


2017 ◽  
Vol 36 (3) ◽  
pp. 858-866
Author(s):  
EA Anoliefo ◽  
O Oparaku

Currently, photvoltaic (PV) modules are characterized based on open circuit voltage, short circuit current as well as voltage and current at maximum power point under strictly specified laboratory conditions. Among manufacturers, regulators and experts, this approach appears reasonably adequate. Nevertheless, among end users and and low level technicians, it may be misleading. This is on account of the critical difference between the laboratory and in situ conditions. This often results to improper design which in turn is capable of accelerating a premature system failure. The present work explores the potentials of natural load variation scheme as a low cost option that is capable of estimating the actual yield of PV modules. Essentially, the scheme consists of a firmware controlling the switching of a number of resistors(loads) connected in parallel. By looping through the resistors in parallel, the firmware matches load impedance to the impedance of the module thus the module operates at its maximum power point. The research results indicate a similar response pattern for constant and variable loads. Nevertheless, the quantitative value of recorded voltage, current, power and energy tended to increase as the number of available resistors incresed. Though clear convergence was not achieved, natural load variation scheme more realistically captures the yield potentials of polycrystalline PV modules under low irradiance conditions. http://dx.doi.org/10.4314/njt.v36i3.28


Author(s):  
Antonius Rajagukguk ◽  
Maryani Aritonang

Using solar panels as a power plant can reduce the dependence of fuel oil. To work always on maximum power points (MPP), Photovoltaic (PV) requires optimization method. Therefore, the authors are interested in discussing the optimization method of the PV array model using Maximum Power Point Traking (MPPT) with the Perturbation & Observation (P & O) Algorithm and Boost Converter. In this case, PV capacity will be simulated on 10 kWp. That PV consists of 4 strings, which is each strings consist of 10 PV modules. The output of PV modules will be forwarded to the Boost Converter circuit. Boost Converter want is controlled by P&O Algorithm. The voltage and current generated from the PV array modeling will be used by the P&O Algorithm as a reference. The function of P&O Algorithm is to track the Maximum Power Point (MPP) of the PV model. The result of tracking power by P&O Algorithm will be forwarded to Pulse Width Modulation (PWM) circuit as a duty cycle generator. Duty cycle signal will be forwarded to the switching tool contained in the converter circuit. By that control system, PV model expected has maximum power according to the voltage. Based on the results of power test by 1000 W/m2 radiation, maximum power obtained is equal to 9967 Wp with 99.6 % efficiency at a voltage level of 400 volt. Therefore,it can be concluded that the design of the PV Array System using P&O Algorithm and the Boost Converter can work well.


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