DOI: https://doi.org/10.14710/ijred.5.3.225-232

A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm

JNT University Kakinada, India

Published: 4 Nov 2016.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2016 International Journal of Renewable Energy Development

Citation Format:
Abstract

To harvest maximum amount of solar energy and to attain higher efficiency, photovoltaic generation (PVG) systems are to be operated at their maximum power  point (MPP) under both variable climatic and partial shaded condition (PSC). From literature most of conventional MPP tracking (MPPT) methods are able to guarantee MPP successfully under uniform shading condition but fails to get global MPP as they may trap at local MPP under PSC, which adversely deteriorates the efficiency of Photovoltaic Generation (PVG) system. In this paper a novel MPPT based on Whale Optimization Algorithm (WOA) is proposed to analyze analytic modeling of PV system considering both series and shunt resistances for MPP tracking under PSC. The proposed algorithm is tested on 6S, 3S2P and 2S3P Photovoltaic array configurations for different shading patterns and results are presented. To compare the performance, GWO and PSO MPPT algorithms are also simulated and results are also presented.  From the results it is noticed that proposed MPPT method is superior to other MPPT methods with reference to accuracy and tracking speed.

Article History: Received July 23rd 2016; Received in revised form September 15th 2016; Accepted October 1st 2016; Available online

How to Cite This Article: Kumar, C.H.S and Rao, R.S. (2016) A Novel Global MPP Tracking of Photovoltaic System based on Whale Optimization Algorithm. Int. Journal of Renewable Energy Development, 5(3), 225-232.

http://dx.doi.org/10.14710/ijred.5.3.225-232

Fulltext View|Download
Keywords: Maximum power point tracking; Partial shaded condition; Photovoltaic generation system; Single diode model; Whale optimization algorithm

Article Metrics:

Article Info
Section: Original Research Article
Language : EN
Statistics: 3236 3172
Share:
Others articles
Biodiesel Production from Kapok (Ceiba pentandra) Seed Oil using Naturally Alkaline Catalyst as an Effort of Green Energy and Technology Sizing and Optimization for Hybrid Central in South Algeria Based on Three Different Generators Production of Solid Fuel by Torrefaction Using Coconut Leaves As Renewable Biomass More articles
Most cited articles
A Novel Integration of PCM with Wind-Catcher Skin Material in Order to Increase Heat Transfer Rate Effect of hydrothermal treatment temperature on the properties of sewage sludge derived solid fuel Biobutanol Production Using High Cell Density Fermentation in a Large Extractant Volume The Development of A Flexible Battery by Using A Stainless Mesh Anode Soybean Opportunity as Source of New Energy in Indonesia More cited articles
  1. Kamarzaman, N.A. & Tan, C.W. (2014) A comprehensive review of maximum power point tracking algorithms for photovoltaic systems. Renewable & Sustainable Energy Rev, 32, 585-598
  2. Reisi, A.R., Moradi, M.H. & Jamasb, S. (2013) Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review. Renewable & Sustainable Energy Rev, 19, 433-443, 2013
  3. Silvestre, S., Boronat, A. & Chouder, A. (2009) Study of bypass diodes configuration on PV modules. Applied Energy, 86, 1632-1640
  4. Ishaque, K. & Salam, Z. (2013) A review of maximum power point tracking techniques of PV system for uniform isolation and partial shading condition. Renewable & Sustainable Energy Rev, 19, 475-488
  5. Zainal, Salam., Jubaer, Ahmed. & Beny, S.Merugu. (2013) The application of soft computing methods for MPPT of PV system: A technological and status review. Applied Energy, 107, 135-148
  6. Ishaque, K., Salam, Z., Amjad, M. & Mekhilef, S. (2012) An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady state oscillations. IEEE Trans Power Electron, 27(8), 3627-3637
  7. Ishaque, K., Salam, Z., Shamsudin, A. & Amjad, M. (2012) A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm. Applied Energy, 99, 414-422
  8. Liu, Y.H., Huang, S.C., Huang, J.W. & Liang, W.C. (2012), “A particle swarm optimization based maximum power point tracking algorithm for PV systems operating under partially shaded conditions. IEEE Trans Energy Conv, 27(4), 1027-1035
  9. Benyoucef, A.S., Chouder, A., Kara, K., Silvestre, S. & Sahed, O.A. (2015) Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions. Applied Soft Computing, 32, 38-48
  10. Sundareswaran, K., Sankar, P., Nayak, P.S.R., Simon, S.P. & Palani, S.(2015) Enhanced energy output from a PV system under partial shaded conditions through Artificial bee colony. IEEE Trans Sustainable Ener, 6(1), 198-209
  11. Jiang, L.L., Maskell, D.L. & Patra, J.C. (2013) A novel ant colony optimization based maximum power point tracking for photovoltaic systems under partially shaded condition. Energy & Buildings, 58, 227-236
  12. Tajuddin, M.F.N., Ayob, S.M, Sala, Z. & Saad, M.S. (2013) Evolutionary based maximum power point tracking technique using differential evolution algorithm. Energy & Buildings, 67, 245-252
  13. Ahmed, J. & Salam, Z. (2014) A maximum power point tracking (MPPT) for PV system using Cuckoo search with Partial shading capability. Appl Energy, 119, 118-130
  14. Daraban, S., Petreus, D. & Morel, C. (2014) A novel MPPT algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading. Energy, 74, 374-388
  15. Sundareswaran, K., Sankar, P. & Sankaran, P. (2014) MPPT of PV systems under partial shaded Conditions through a colony of flashing fireflies. IEEE Trans Ener Conv, 29(2), 463-472
  16. Satyajit, Mohanty., Bidyadhar, Subudhi. & Pravat, Kumar.Ray. (2016) A new MPPT design using grey wolf optimizer technique for photovoltaic system under partial shading conditions. IEEE Trans on sustainable energy, 7(1), 181-188
  17. Liu, Y.H., Chen, J.H. & Huang, J.W. (2015) A review of maximum power point tracking techniques for use in partially shaded condition. Renewable & Sustainable Energy Rev, 41, 436-453
  18. Ahmed, J. & Salam, Z. (2015) A critical evaluation on maximum power point tracking methods for partial shading in PV systems, Renewable & Sustainable Energy Rev, 47, 933-953
  19. Mirjalili, S. & Lewis, A. (2016) The whale optimization algorithm, Advances in Engg Software, 95, 51-67
  20. T, Ma., H, Yang. & L, Lu. (2014) Solar photovoltaic system modeling and performance prediction, Renewable & Sustainable Energy Rev, 36, 304-315
  21. Bader, N.A., Khaled. H.A., Stephen, J.F. & Barry. W.W. (2013) A Maximum power point tracking technique for partially shaded photovoltaic systems in microgrids, IEEE Trans.Ind.Electro, 60(4), 1596-1606

Last update: 2021-07-23 17:44:33

  1. Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition

    Journal of Cleaner Production, 127 , 2020. doi: 10.1016/j.jclepro.2020.121983

  2. An Inspired Machine-Learning Algorithm with a Hybrid Whale Optimization for Power Transformer PHM

    Wei Zhang, Xiaohui Yang, Yeheng Deng, Anyi Li. Energies, 13 (12), 2020. doi: 10.3390/en13123143

  3. Movement of a Solar Electric Vehicle Controlled by ANN-based DTC in Hot Climate Regions

    Asma Benayad, Brahim Gasbaoui, Said Bentouba, Mohammed Amine Soumeur. International Journal of Renewable Energy Development, 10 (1), 2021. doi: 10.14710/ijred.2021.18596

  4. An Improved Whale Optimization Algorithm with Random Evolution and Special Reinforcement Dual-Operation Strategy Collaboration

    Qibing Jin, Zhonghua Xu, Wu Cai. Symmetry, 13 (2), 2021. doi: 10.3390/sym13020238

  5. Advanced Technologies for Solar Photovoltaics Energy Systems

    Ali M. Eltamaly. Green Energy and Technology, 2021. doi: 10.1007/978-3-030-64565-6_6

  6. A Hybrid Whale Optimization Algorithm for Global Optimization

    Chun-Yao Lee, Guang-Lin Zhuo. Mathematics, 9 (13), 2021. doi: 10.3390/math9131477

  7. Sizing Optimization of Whale Optimization Algorithm for Hybrid Stand-Alone Photovoltaic System

    Mohamad Faridzal Mohamad Bakri, Zulkifli Othman, Shahril Irwan Sulaiman, Noor Hasliza Abdul Rahman. 2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA), 2021. doi: 10.1109/CSPA52141.2021.9377279

  8. Recent nature-Inspired algorithms for medical image segmentation based on tsallis statistics

    G.A. Wachs-Lopes, R.M. Santos, N.T. Saito, P.S. Rodrigues. Communications in Nonlinear Science and Numerical Simulation, 88 , 2020. doi: 10.1016/j.cnsns.2020.105256

  9. A Comprehensive Review on a PV Based System to Harvest Maximum Power

    Electronics, 8 (12), 2019. doi: 10.3390/electronics8121480

  10. Enhanced Bayesian Based MPPT Controller for PV Systems

    Fakheredine Keyrouz. IEEE Power and Energy Technology Systems Journal, 5 (1), 2018. doi: 10.1109/JPETS.2018.2811708

  11. A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

    M. Premkumar, C. Kumar, R. Sowmya, J. Pradeep. Automatika, 62 (1), 2021. doi: 10.1080/00051144.2020.1834062

  12. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

    Energy Conversion and Management, 127 , 2020. doi: 10.1016/j.enconman.2020.112595

  13. Multi-objective whale optimization algorithm for content-based image retrieval

    Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien. Multimedia Tools and Applications, 77 (19), 2018. doi: 10.1007/s11042-018-5840-9

  14. Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

    IET Renewable Power Generation, 14 (17), 2020. doi: 10.1049/iet-rpg.2020.0454

  15. Soft Computing for Problem Solving 2019

    Amarjeet Singh, Kusum Deep. Advances in Intelligent Systems and Computing, 127 , 2020. doi: 10.1007/978-981-15-3290-0_2

  16. Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments

    Nadim Rana, Muhammad Shafie Abd Latiff, Shafi’i Muhammad Abdulhamid, Haruna Chiroma. Neural Computing and Applications, 32 (20), 2020. doi: 10.1007/s00521-020-04849-z

  17. Handbook of Research on Power and Energy System Optimization

    Tapan Prakash, Vinay Pratap Singh, Soumya Ranjan Mohanty. Advances in Computer and Electrical Engineering, 2018. doi: 10.4018/978-1-5225-3935-3.ch004

  18. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

    Ahmed A. Zaki Diab. Green Energy and Technology, 2020. doi: 10.1007/978-3-030-05578-3_13

  19. Single phase PV system operating under Partially Shaded Conditions with ABC-PO as MPPT algorithm for grid connected applications

    Deepthi Pilakkat, S. Kanthalakshmi. Energy Reports, 6 , 2020. doi: 10.1016/j.egyr.2020.07.019

  20. An efficient algorithm for community detection in complex weighted networks

    Leila Samandari Masooleh, Jeffrey E. Arbogast, Warren D. Seider, Ulku Oktem, Masoud Soroush. AIChE Journal, 2021. doi: 10.1002/aic.17205

  21. Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation

    Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien. Expert Systems with Applications, 83 , 2017. doi: 10.1016/j.eswa.2017.04.023

  22. Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

    IET Renewable Power Generation, 14 (17), 2020. doi: 10.1049/iet-rpg.2020.0454

  23. Enhanced and speedy energy extraction from a scaled-up pressure retarded osmosis process with a whale optimization based maximum power point tracking

    Yingxue Chen, Ranjan Vepa, Mohammad Hasan Shaheed. Energy, 127 , 2018. doi: 10.1016/j.energy.2018.04.052

Last update: 2021-07-23 17:44:33

  1. Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition

    Journal of Cleaner Production, 127 , 2020. doi: 10.1016/j.jclepro.2020.121983

  2. Research on New Adaptive Whale Algorithm

    Chen X.. IEEE Access, 8 , 2020. doi: 10.1109/ACCESS.2020.2993580

  3. An Inspired Machine-Learning Algorithm with a Hybrid Whale Optimization for Power Transformer PHM

    Wei Zhang, Xiaohui Yang, Yeheng Deng, Anyi Li. Energies, 13 (12), 2020. doi: 10.3390/en13123143

  4. Movement of a Solar Electric Vehicle Controlled by ANN-based DTC in Hot Climate Regions

    Asma Benayad, Brahim Gasbaoui, Said Bentouba, Mohammed Amine Soumeur. International Journal of Renewable Energy Development, 10 (1), 2021. doi: 10.14710/ijred.2021.18596

  5. An improved whale optimization algorithm with random evolution and special reinforcement dual‐operation strategy collaboration

    Jin Q.. Symmetry, 13 (2), 2021. doi: 10.3390/sym13020238

  6. MPPT of PV system under partial shading conditions based on hybrid whale optimization-simulated annealing algorithm (WOSA)

    Diab A.. Green Energy and Technology, 2020. doi: 10.1007/978-3-030-05578-3_13

  7. A novel binary whale optimization algorithm- based optimal placement of phasor measurement units

    Prakash T.. Handbook of Research on Power and Energy System Optimization, 2018. doi: 10.4018/978-1-5225-3935-3.ch004

  8. Moth-flame optimization-based maximum power point tracking for photovoltaic systems under partial shading conditions

    Shi J.Y.. Journal of Power Electronics, 19 (5), 2019. doi: 10.6113/JPE.2019.19.5.1248

  9. Artificial bee colony-based GMPPT for non-homogeneous operating conditions in a bifacial CPVT system

    Demircan C.. Green Energy and Technology, 2020. doi: 10.1007/978-3-030-05578-3_12

  10. Analysis and simulation of bio-inspired intelligent salp swarm MPPT method for the PV systems under partial shaded conditions

    Premkumar M.. International Journal of Computing and Digital Systems, 8 (5), 2019. doi: 10.12785/ijcds/080506

  11. Recent nature-Inspired algorithms for medical image segmentation based on tsallis statistics

    G.A. Wachs-Lopes, R.M. Santos, N.T. Saito, P.S. Rodrigues. Communications in Nonlinear Science and Numerical Simulation, 88 , 2020. doi: 10.1016/j.cnsns.2020.105256

  12. Whale optimization algorithm with nonlinear control parameter

    Zhong M.. MATEC Web of Conferences, 127 , 2017. doi: 10.1051/matecconf/201713900157

  13. Comparative performance analysis of 2DOF state feedback controller for automatic generation control using whale optimization algorithm

    Simhadri K.. Optimal Control Applications and Methods, 40 (1), 2019. doi: 10.1002/oca.2462

  14. A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions

    Faiza Belhachat, Cherif Larbes. Renewable and Sustainable Energy Reviews, 92 , 2018. doi: 10.1016/j.rser.2018.04.094

  15. A Comprehensive Review on a PV Based System to Harvest Maximum Power

    Electronics, 8 (12), 2019. doi: 10.3390/electronics8121480

  16. Performance Analysis of Whale Optimization Algorithm Based on Strategy Parameter

    Singh A.. Advances in Intelligent Systems and Computing, 127 , 2020. doi: 10.1007/978-981-15-3290-0_2

  17. A Novel Salp Swarm Optimization MPP Tracking Algorithm for the Solar Photovoltaic Systems under Partial Shading Conditions

    Krishnan S.. Journal of Circuits, Systems and Computers, 29 (1), 2020. doi: 10.1142/S0218126620500176

  18. Antlion optimization and Whale optimization Algorithm for multilevel thresholding segmentation

    Iyer S.. 2019 Innovations in Power and Advanced Computing Technologies, i-PACT 2019, 2019. doi: 10.1109/i-PACT44901.2019.8960178

  19. A novel salp swarm assisted hybrid maximum power point tracking algorithm for the solar photovoltaic power generation systems

    M. Premkumar, C. Kumar, R. Sowmya, J. Pradeep. Automatika, 62 (1), 2021. doi: 10.1080/00051144.2020.1834062

  20. Enhanced grey wolf optimizer based MPPT algorithm of PV system under partial shaded condition

    Kumar C.. International Journal of Renewable Energy Development, 6 (3), 2017. doi: 10.14710/ijred.6.3.203-212

  21. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

    Energy Conversion and Management, 127 , 2020. doi: 10.1016/j.enconman.2020.112595

  22. Implementation of A New Maximum Power Point Tracking Algorithm for partially shaded PV Systems

    Özgenc B.. 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings, 2019. doi: 10.1109/SGCF.2019.8782362

  23. A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system

    Renewable and Sustainable Energy Reviews, 115 , 2019. doi: 10.1016/j.rser.2019.109372

  24. Multi-objective whale optimization algorithm for content-based image retrieval

    Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien. Multimedia Tools and Applications, 77 (19), 2018. doi: 10.1007/s11042-018-5840-9

  25. Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments

    Nadim Rana, Muhammad Shafie Abd Latiff, Shafi’i Muhammad Abdulhamid, Haruna Chiroma. Neural Computing and Applications, 32 (20), 2020. doi: 10.1007/s00521-020-04849-z

  26. A New Power Tracker for Distributed and Partially Shaded PV Systems

    Keyrouz F.. 2019 IEEE Canadian Conference of Electrical and Computer Engineering, CCECE 2019, 127 , 2019. doi: 10.1109/CCECE43985.2019.9052400

  27. A hybrid whale optimization algorithm based on modified differential evolution for global optimization problems

    Luo J.. Applied Intelligence, 49 (5), 2019. doi: 10.1007/s10489-018-1362-4

  28. Performance analysis of dual-mode PI controller using quasi-oppositional whale optimization algorithm for load frequency control

    Simhadri K.. International Transactions on Electrical Energy Systems, 30 (1), 2020. doi: 10.1002/2050-7038.12159

  29. Single phase PV system operating under Partially Shaded Conditions with ABC-PO as MPPT algorithm for grid connected applications

    Deepthi Pilakkat, S. Kanthalakshmi. Energy Reports, 6 , 2020. doi: 10.1016/j.egyr.2020.07.019

  30. An efficient algorithm for community detection in complex weighted networks

    Leila Samandari Masooleh, Jeffrey E. Arbogast, Warren D. Seider, Ulku Oktem, Masoud Soroush. AIChE Journal, 2021. doi: 10.1002/aic.17205

  31. Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation

    Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien. Expert Systems with Applications, 83 , 2017. doi: 10.1016/j.eswa.2017.04.023

  32. Enhanced and speedy energy extraction from a scaled-up pressure retarded osmosis process with a whale optimization based maximum power point tracking

    Yingxue Chen, Ranjan Vepa, Mohammad Hasan Shaheed. Energy, 127 , 2018. doi: 10.1016/j.energy.2018.04.052

  33. Humpback whale assisted hybrid maximum power point tracking algorithm for partially shaded solar photovoltaic systems

    Premkumar M.. Journal of Power Electronics, 18 (6), 2018. doi: 10.6113/JPE.2018.18.6.1805