scholarly journals Grey Wolf Optimizer-Based Array Reconfiguration to Enhance Power Production from Solar Photovoltaic Plants under Different Scenarios

2021 ◽  
Vol 13 (24) ◽  
pp. 13627
Author(s):  
Astitva Kumar ◽  
Mohammad Rizwan ◽  
Uma Nangia ◽  
Muhannad Alaraj
Keyword(s):  
Power Loss ◽  
Fill Factor ◽  
Maximum Power ◽  
Performance Ratio ◽  
Grey Wolf Optimizer ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Grey Wolf ◽  
Partial Shading ◽  
Power Enhancement

The extraction of maximum power is a big challenge in solar photovoltaic-based power plants due to varying atmospheric and meteorological parameters. The concept of array reconfiguration is applied for the maximum power extraction in solar PV plants. Using this approach, the occurrence of multiple peaks in P-V and I-V characteristics during partial shade can be smoothened and reduced significantly. Partial shading due to the movement of the cloud is considered in the research. The cloud movement mainly because of velocity and wind direction is used for creating various shading conditions. The main focus is to reduce the power losses during partial shading using a nature-inspired optimization approach to reconfigure the array for different types of shading conditions. A grey wolf optimizer-based bridge-linked total cross-tied (GWO-BLTCT) configuration is proposed in this paper. The performance of the proposed topology is compared with standard and hybrid topologies, namely, series-parallel, total cross-tied, BLTCT, and SuDoKu-BLTCT, based on performance indicators such as fill factor, performance ratio, power enhancement, and power loss. The proposed GWO-BLTCT outperforms the remaining topologies due to the least power loss and high fill factor. It also has the highest average power enhancement and performance ratio with 23.75% and 70.02% respectively.

Advanced SuDoKu Based Reconfiguration Strategies for Maximum Power Extraction from Partially Shaded Solar PV Array

2021 ◽  
pp. 1-33
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta
Keyword(s):  
Individual Performance ◽  
Maximum Power ◽  
Performance Ratio ◽  
Global Maximum ◽  
Solar Pv ◽  
Partial Shading ◽  
Power Extraction ◽  
Pv Array ◽  
And Performance ◽  
Shading Effects

Abstract Individual performance of photovoltaic (PV) modules is contravened by mismatch losses which results in blockage in most of the solar power generated by the PV array (PVA). Partial shading conditions (PSCs) are the main causes of these losses. Several techniques have been discussed to reduce the issues caused by PSCs. Reconfiguration techniques have been proven to be one of the most successful methods that help towards this cause. In this method, the location of PV module (PVM) in the PVA is reconfigured so that the shading effects get distributed throughout the entire array and, hence, maximizing the power output. Two novel reconfiguration patterns such as canonical SuDoKu (CS) and multi diagonal SuDoKu (MDS) for total cross tied (TCT) configuration have been put forth in this manuscript. This approach aims to rearrange the PVMs in the TCT array as per the fed in patterns without causing a change in the internal electrical connections. Further parts of the manuscript focus on the comparison of the proposed pattern's performance with other pre-existing PVA arrangements such as, TCT, SuDoKu, optimal SuDoKu (OS) and modified SuDoku (MS) by taking into account the effects of global maximum power (GMP) point, mismatch power loss, fill factor and performance ratio. The results obtained from the detailed analysis presented in this paper gives proper evidence that, in many cases, the GMP is amplified in the CS and, in all cases, GMP is amplified in the proposed MDS PVA under different shading conditions.

scholarly journals Power Enhancement from Solar PV Array Topologies under Partial Shading Condition

2018 ◽  
Vol 10 (01) ◽  
pp. 33-40
Author(s):  
Santosh Kumar Singh ◽  
Anurag Singh Yadav ◽  
Ashutosh Srivastava ◽  
Amarjeet Singh
Keyword(s):  
Maximum Output Power ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Array ◽  
Power Enhancement ◽  
Pv Modules ◽  
Multiple Load ◽  
Mismatch Effect

In this paper, a detailed study is carried out on the solar photovoltaic (PV) array topologies under various shading patterns. The aim of this study is to investigate the mismatch effect losses in PV modules for non uniform irradiations. The shading causes not only power losses, but also non-linearity of P-V characteristics. Under partial shaded conditions, the P-V and I-V characteristics exhibit extreme non-linearity along with multiple load maxima. In this paper, the investigations of the optimal layout of PV modules in a PV array are worked out to provide maximum output power under various shaded conditions. Three type of solar PV array topologies e.g. Series-parallel (SP), Total cross tied (TCT) and Bridge link (BL) are considered for various typesof shaded patterns. The modeling of solar PV array for various types of topologies is done in MATLAB/Simulink environment. The extensive results have been taken on these topologies for partial shading patterns and analyzed, which proves the TCT topology performance is better as compared to other topologies for most of the shading patterns.

Power Enhancement from Solar PV Array Topologies under Partial Shading Condition

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Santosh Kumar Singh ◽  
Anurag Singh Yadav ◽  
Ashutosh Srivastava ◽  
Amarjeet Singh
Keyword(s):  
Maximum Output Power ◽  
Maximum Output ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Array ◽  
Power Enhancement ◽  
Pv Modules ◽  
Multiple Load ◽  
Mismatch Effect

In this paper, a detailed study is carried out on the solar photovoltaic (PV) array topologies under various shading patterns. The aim of this study is to investigate the mismatch effect losses in PV modules for non uniform irradiations. The shading causes not only power losses, but also non-linearity of P-V characteristics. Under partial shaded conditions, the P-V and I-V characteristics exhibit extreme non-linearity along with multiple load maxima. In this paper, the investigations of the optimal layout of PV modules in a PV array are worked out to provide maximum output power under various shaded conditions. Three type of solar PV array topologies e.g. Series-parallel (SP), Total cross tied (TCT) and Bridge link (BL) are considered for various types of shaded patterns. The modeling of solar PV array for various types oopologies is done in MATLAB/Simulink environment. The extensive results have been taken on these topologies for partial shading patterns and analyzed, which proves the TCT topology performance is better as compared to other topologies for most of the shading patterns.

scholarly journals Enhanced Grey Wolf Optimizer based MPPT Algorithm of PV system under Partial Shaded Condition

2017 ◽  
Vol 6 (3) ◽  
pp. 203 ◽  
Author(s):  
Santhan Kumar Cherukuri ◽  
Srinivasa Rao Rayapudi
Keyword(s):  
Maximum Power ◽  
Global Maximum ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point. Conventional Maximum Power Point Tracking (MPPT) techniques like Perturb and Observe, Incremental Conductance and Hill Climbing can track the maximum power point effectively under uniform shaded condition, but fails under partial shaded condition. An attractive solution under partial shaded condition is application of meta-heuristic algorithms to operate at global maximum power point. Hence in this paper, an Enhanced Grey Wolf Optimizer (EGWO) based maximum power point tracking algorithm is proposed to track the global maximum power point of PV system under partial shading condition. A Mathematical model of PV system is developed under partial shaded condition using single diode model and EGWO is applied to track global maximum power point. The proposed method is programmed in MATLAB environment and simulations are carried out on 4S and 2S2P PV configurations for dynamically changing shading patterns. The results of the proposed method are analyzed and compared with GWO and PSO algorithms. It is observed that proposed method is effective in tracking global maximum power point with more accuracy in less computation time compared to other methods.Article History: Received June 12nd 2017; Received in revised form August 13rd 2017; Accepted August 15th 2017; Available onlineHow to Cite This Article: Kumar, C.H.S and Rao, R.S. (2017 Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition. Int. Journal of Renewable Energy Development, 6(3), 203-212.https://doi.org/10.14710/ijred.6.3.203-212

scholarly journals Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4086
Author(s):  
Timmidi Nagadurga ◽  
Pasumarthi Venkata Ramana Lakshmi Narasimham ◽  
V. S. Vakula ◽  
Ramesh Devarapalli ◽  
Fausto Pedro García Márquez
Keyword(s):  
Optimization Algorithm ◽  
Maximum Power ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.

scholarly journals Tracking of Maximum Power Point in Solar PV (SPV) Systems using Perturb & Observe (PO) and Incremental Conductance (IC) Method

2019 ◽  
Vol 8 (12) ◽  
pp. 613-618
Keyword(s):  
Electrical Energy ◽  
Maximum Power ◽  
Energy Utilization ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Incremental Conductance ◽  
Tracking Time ◽  
Power Point ◽  
Number Of Publications

The solar energy being clean, green & commercially modest, have become one of the most prevalent choice amongst the renewable sources of electrical energy. Utilization of energy generated from Solar photovoltaic (SPV) system rest on the maximum extraction of the power generated. Ideal maximum power point (MPP) tracking (MPPT) is used to transfer 100% generated power from source and transfer it to load. In literature of recent years, a good number of publications found on SPV systems and MPPT. In this paper most popular MPPT techniquesPerturb & Observe (PO) and Incremental Conductance (IC) methods are simulated and implemented. The comparison is also presented on the ground of parameters like tracking time, tracking efficiency etc.

Sign in / Sign up

Export Citation Format

Share Document