JNT University Kakinada, India
BibTex Citation Data :
@article{IJRED12958, author = {Santhan Cherukuri and Srinivasa Rayapudi}, title = {Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition}, journal = {International Journal of Renewable Energy Development}, volume = {6}, number = {3}, year = {2017}, keywords = {Enhanced Grey Wolf Optimizer, Maximum power point tracking, Partial shaded condition, PV system, Single diode model.}, abstract = { 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 15 th 2017; Available online How 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 }, pages = {203--212} doi = {10.14710/ijred.6.3.203-212}, url = {https://ejournal.undip.ac.id/index.php/ijred/article/view/12958} }
Refworks Citation Data :
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 online
How 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
Article Metrics:
Last update:
Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition
Metaheuristic Based MPPT Control for Solar PV Systems Under Partial Shading Conditions
A New Efficient Cuckoo Search MPPT Algorithm Based on a Super-Twisting Sliding Mode Controller for Partially Shaded Standalone Photovoltaic System
WHALE OPTIMIZATION ALGORITHM BASED OPTIMAL MPPT OF PV POWER PLANT (REAL CASE STUDY)
Robust MPPT Tracking for PV Solar Power using Metaheuristic Algorithms
A novel MPPT design based on the seagull optimization algοrithm for phοtovοltaic systems operating under partial shading
Performance Investigation for Tracking GMPP of Photovoltaic System Under Partial Shading Condition Using Coyote Algorithm
PV Based Standalone DC -Micro Grid System for EV Charging Station with New GWO-ANFIS MPPTs under Partial Shading Conditions
Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques
A GWO-P&O Algorithm MPPT for PV Systems Under UIC and PSC
A Novel Horse Racing Algorithm Based MPPT Control for Standalone PV Power Systems
An Advanced and Robust Approach to Maximize Solar Photovoltaic Power Production
Enhanced Grey Wolf optimization for GMPP Tracking of PV Systems Under Partial Shading Condition
A Review of Partial Shading MPPT Algorithm on Speed, Accuracy, and Cost Embedded
Maximum power point tracking in partially shaded photovoltaic systems using grasshopper optimization algorithm
Grade point average assessment for metaheuristic GMPP techniques of partial shaded PV systems
A REVIEW ON MPPT ALGORITHMS FOR SOLAR PV SYSTEMS
Modified grey wolf optimization for global maximum power point tracking under partial shading conditions in photovoltaic system
Artificial Intelligence of Things-Based Optimal Finite-Time Terminal Attractor and Its Application to Maximum Power Point Tracking of Photovoltaic Arrays in Smart Cities
Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions
A Dimension-Independent Array Relocation (DIAR) Approach for Partial Shading Losses Minimization in Asymmetrical Photovoltaic Arrays
Role of Metaheuristic Approaches for Implementation of Integrated MPPT-PV Systems: A Comprehensive Study
An innovative maximum power point tracking for photovoltaic systems operating under partially shaded conditions using Grey Wolf Optimization algorithm
Solution of Test Problems with Grey Wolf Optimization Algorithm and Comparison with Particle Swarm Optimization
Classification and Evaluation Review of Maximum Power Point Tracking Methods
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
A novel simple GMPPT method based on probability distribution of global maximum power point under partial shading conditions
Study and Implementation of a High-Quality True Sine Wave DC-to-AC Inverter for Solar Power Generation Systems
A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach
An intelligent EGWO‐SCA‐CS algorithm for PSS parameter tuning under system uncertainties
Simulation Implementation of MPPT Design under Partial Shading Effect of PV Panels
An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading
A Reinvigorated Optimization Approach for Assessment and Comparison of Various Configured Photovoltaic Array Under Distinct Shading Conditions
A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system
Optimal Photovoltaic Array Reconfiguration For Alleviating the Partial Shading Influence Based on Particle Swarm Optimization
A comprehensive review on the application of recently introduced optimization techniques obtaining maximum power in the solar PV System
MPPT Control Strategy Based on Athletics Running Algorithm for PV Power Systems Under Partial Shading Effects
Grey wolf optimization and differential evolution-based maximum power point tracking controller for photovoltaic systems under partial shading conditions
A New MPPT-Based Extended Grey Wolf Optimizer for Stand-Alone PV System: A Performance Evaluation versus Four Smart MPPT Techniques in Diverse Scenarios
A Comprehensive Review of Recent Maximum Power Point Tracking Techniques for Photovoltaic Systems under Partial Shading
Performance Optimization in Photovoltaic Systems: A Review
A fast and accurate sine-cosine MPPT algorithm under partial shading with implementation using arduino board
A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems
Optimization of module pressure retarded osmosis membrane for maximum energy extraction
Novel Partial Shading Tolerant Short-Circuit-Current Based PV Maximum Power Point Tracking Technique
Maximum power point tracking of photovoltaic array based on improved Particle Swarm Optimization Algorithm
Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems
Last update: 2025-05-17 10:08:40
A novel global maximum power point tracking method for PV system using Jaya algorithm
Moth-flame optimization-based maximum power point tracking for photovoltaic systems under partial shading conditions
An intelligent EGWO-SCA-CS algorithm for PSS parameter tuning under system uncertainties
A performance analysis of a hybrid golden section search methodology and a nature-inspired algorithm for MPPT in a solar PV system
Maximum power extraction from the photovoltaic system under partial shading conditions
This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Articles are freely available to both subscribers and the wider public with permitted reuse.
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options: Creative Commons Attribution-ShareAlike (CC BY-SA). Authors and readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, even commercially, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
International Journal of Renewable Energy Development (ISSN:2252-4940) published by CBIORE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
