scholarly journals Differential Evolution Based Solar Photovoltaic Array Reconfiguration Algorithm for Optimal Energy Extraction during Partial Shading Condition

Author(s):  
M. A. I. A. Tazally ◽  
M. F. N. Tajuddin ◽  
A. Azmi ◽  
S. M. Ayob ◽  
T. Sutikno

To increase energy yield from an installed photovoltaic (PV) array, particularly during partial shading condition (PSC), a new technique based on reconfigurable PV array interconnection is proposed in this work. The proposed technique works by dynamically changing the interconnection of PV modules to form a new configuration using a switching matrix inside the array. The criteria of good reconfigurable PV array interconnection techniques depend on the efficiency and accuracy of the control algorithm to optimally reconfigure the PV array to maximize the total output power. Hence, this paper proposes a new control algorithm using differential evolution (DE) for photovoltaic array reconfiguration (PVAR). To verify the superiority of the proposed algorithm, DE is compared with the particle swarm optimization (PSO) algorithm. Results confirm that DE performs well in terms of the amount of energy production during PSC. For all the nine shading patterns tested on a 3 × 3 PV array, DE yields 1% to 5% more power than PSO.

2017 ◽  
Vol 2 (1) ◽  
pp. 10 ◽  
Author(s):  
Neha Saurabh Shah ◽  
Hiren H Patel

Non-uniform conditions on the modules of the PV array, especially, partial shading reduces the output of the PV array to a large extent. The shaded module in a string limits the current of the entire string and hence, the output power of the string.  The output power under such conditions is reported to be higher for total-cross-tied (TCT) configuration. This paper describes two different approaches, one based on current compensation (current equalization) and another based on voltage equalization, to extract higher power from the partially shaded total-cross-tied photovoltaic array. The TCT configuration is considered to minimize the number of converters, sensors, cost and complexity involved. The additional converters in the two distinct approaches evaluated here operate only when the partial shading occurs and are controlled to minimize the current and voltage miss-matches. The analysis and the control algorithm are presented. Simulation results obtained in MATLAB/Simulink are included to demonstrate the effectiveness of both methods and the relative merits and demerits of these approaches are highlighted.


Author(s):  
Lunde Ardhenta ◽  
Wijono Wijono

Wind energy and solar energy are the prime energy sources which are being utilized for renewal energy. The performance of a photovoltaic (PV) array for solar energy is affected by temperature, irradiation, shading, and array configuration. Often, the PV arrays are shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. Under partially shaded conditions, the PV characteristics are more complex with multiple peaks, hence, it is very important to understand and predict the MPP under PSC in order to extract the maximum possible power. This paper presents the development of PV array simulator for studying the I–V and P–V characteristics of a PV array under a partial shading condition. It can also be used for developing and evaluating new maximum power point tracking techniques, for PV array with partially shaded conditions. It is observed that, for a given number of PV modules, the array configuration significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations


2015 ◽  
Vol 137 (3) ◽  
Author(s):  
S. Malathy ◽  
R. Ramaprabha

The energy yield of the photovoltaic (PV) system is reduced to a greater extent under shaded conditions. Reconfiguration and repositioning techniques demand more number of sensors, switches, and an efficient control algorithm and are well suited for rapidly changing shade conditions. However, for fixed shading that is common in urban rooftop installations, where the shading is partial and usually caused by nearby structures, a simple, yet effective technique is necessary. This paper addresses the issue by grouping the panels based on shade intensity and the merits of asymmetrical multilevel inverter (AMLI) are utilized as the working voltage of each group is different.


The electrical power generation from solar photo voltaic arrays increases by reducing partial shading effect due to the deposition of dust in modules, shadow of nearby buildings, cloud coverage leads to mismatching power losses. This paper gives the detailed analysis of modeling, simulation and performance analysis of different 4x4 size PV array topologies under different irradiance levels and to extract output power of panels maximum by reducing the mismatching power losses. For this analysis, a comparative study of six PV array topologies are Series, Parallel, Series-Parallel, Total-Cross-Tied, Bridge Linked and Honey-Comb are considered under various shading conditions such as one module shading, one string shading, zigzag type partial shading and total PV array partially shaded cases. The performance of above six topologies are compare with mismatching power losses and fill-factor. For designing and simulation of different PV array configurations/topologies in MaTLab/Simulink, the LG Electronics LG215P1W PV module parameters are used in all PV modules.


Author(s):  
Bennis Ghita ◽  
Karim Mohammed ◽  
Lagrioui Ahmed

Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.


Author(s):  
Mohammad Syahir Bin Ishak ◽  
Rahmatul Hidayah Salimin ◽  
Ismail Musirin ◽  
Zulkiffli Abdul Hamid

This paper investigates the performances of different photovoltaic (PV) array under several shading condition. Four types of photovoltaic array configuration scheme which are ‘Series’ (S), Series-Parallel’ (SP), Total-Cross-Tied’ (TCT), and ‘Bridge-Link’ (BL) array topologies were tested by applying a 6x6 PV array under 6 different shading scenarios. The modeling is developed using Matlab/Simulink. The performances and output characteristics of photovoltaic array are compared and analyzed. System engineer can use the detailed characteristics of different array configuration to approximate the outcome power and pick the best configuration of the system by concerning the current natural condition to enhance the overall efficiency.


Author(s):  
Lunde Ardhenta ◽  
Wijono Wijono

Wind energy and solar energy are the prime energy sources which are being utilized for renewal energy. The performance of a photovoltaic (PV) array for solar energy is affected by temperature, irradiation, shading, and array configuration. Often, the PV arrays are shadowed, completely or partially, by the passing clouds, neighboring buildings and towers, trees, and utility and telephone poles. Under partially shaded conditions, the PV characteristics are more complex with multiple peaks, hence, it is very important to understand and predict the MPP under PSC in order to extract the maximum possible power. This paper presents the development of PV array simulator for studying the I–V and P–V characteristics of a PV array under a partial shading condition. It can also be used for developing and evaluating new maximum power point tracking techniques, for PV array with partially shaded conditions. It is observed that, for a given number of PV modules, the array configuration significantly affects the maximum available power under partially shaded conditions. This is another aspect to which the developed tool can be applied. The model has been experimentally validated and the usefulness of this research is highlighted with the help of several illustrations.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianbo Bai ◽  
Leihou Sun ◽  
Rupendra Kumar Pachauri ◽  
Guangqing Wang

On the basis of a five-parameter photovoltaic (PV) mathematical model, a multipeak output model of a PV array under partial shading conditions (PSCs) is obtained by MATLAB simulation. Simulation and experimental results demonstrate that the model can simulate the performance curves of the PV array under the PSCs. Optimized particle swarm optimization (OPSO) is used to control the multipeak output model that can quickly and accurately track the global maximum power point (GMPP) of PV modules under PSCs. Its main idea is to determine the initial position of particles and remove the acceleration factor and random number in traditional particle swarm optimization (PSO) algorithm. Additionally, according to the distance between two consecutive peak points, the maximum value of velocity is obtained. The advantages of the OPSO include the following: compared with the traditional PSO algorithm, the computing time is greatly shortened; and it is easy to achieve the MPPT with a low-cost microprocessor. In addition, a PV optimizer is designed to improve the output power of PV modules under PSCs, and simulation and experimentation have compared the output characteristics of PV modules in traditional control mode and optimized control mode under PSCs. The experimental results show that the PV optimizer improves the output power of the PV modules by 13.4% under the PSC.


Author(s):  
K. Burhanudin ◽  
N.A. Kamarzaman ◽  
A.A.A. Samat ◽  
A.I. Tajudin ◽  
S.S. Ramli ◽  
...  

Power-Voltage (P-V) curve and Current-Voltage (I-V) curve determine the performance of the PV system. In this work, the arrangements of the PV module were reconstructed by adding the number of PV module in 3 strings configuration from 5 to 45. This method enhance the performance of the PV system as it able to show the characteristic of the P-V and I-V curve during partial shading and maximum irradiance despite higher number of PV panel. This study focuses on improving the PV array configuration and simulation speed of the PV panel. The simulation of small size PV array is possible, but the problem lies when the number of string and PV module used increases. New PV array configuration is flexible and easy to add string and increase the number of PV module. PV array configuration was modeled using MATLAB/SIMULINK software.


Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 24 ◽  
Author(s):  
Chayut Tubniyom ◽  
Rongrit Chatthaworn ◽  
Amnart Suksri ◽  
Tanakorn Wongwuttanasatian

Configurations of photovoltaic (PV) modules, such as series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations, always utilize a number of connecting switches. In a simulation, the ideal switch with no loss is used to optimize the reconfiguration method for a solar PV array. However, in practice, the switches are non-ideal, causing losses and resulting in a decrease in the total output power of the PV array. In this work, MATLAB/Simulink (R2016a) was employed to simulate nine PV modules linked in a 3 × 3 array, and they were reconfigured using series-parallel (SP), bridge-linked (BL), and total cross-tied (TCT) configurations for both ideal and non-ideal switch cases. It was not surprising that non-ideal switches deteriorated the output power compared with ideal cases. Then, the minimization of losses (ML) configuration was proposed by minimizing the number of switches to give the highest output power. A 5% higher power output was set as the criterion to reconfigure the PV modules when partial shading occurred. The results showed that if 50% or more of the area was partially shaded, reconfiguration was unnecessary. On the other hand, when the shaded area was less than 50%, reconfiguration gave a significant increase in power. Finally, the ML method had different configurations for various shading patterns, and provided better results than those of the TCT method.


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