skip to main content

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:

  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:

  1. Energy routing based optimal solution for residential peak power reduction with photovoltaic and electric vehicle penetration

    Nethravathi Shivanaganna, Venkatakirthiga Murali. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44 (3), 2022. doi: 10.1080/15567036.2022.2085824
  2. Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition

    Bo Yang, Tianjiao Zhu, Jingbo Wang, Hongchun Shu, Tao Yu, Xiaoshun Zhang, Wei Yao, Liming Sun. Journal of Cleaner Production, 268 , 2020. doi: 10.1016/j.jclepro.2020.121983
  3. Research on New Adaptive Whale Algorithm

    Xuan Chen. IEEE Access, 8 , 2020. doi: 10.1109/ACCESS.2020.2993580
  4. 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
  5. 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
  6. 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
  7. Advanced Technologies for Solar Photovoltaics Energy Systems

    Ali M. Eltamaly. Green Energy and Technology, 2021. doi: 10.1007/978-3-030-64565-6_6
  8. Support Vector Regression Framework for Reactive Power Prediction based on Real Power Demand

    Durga Madhab Swain, Meera Viswavandya, Ritesh Dash, Kalvakurthi Jyotheeswara Reddy, Sarat Chandra Swain. 2023 Second International Conference on Trends in Electrical, Electronics, and Computer Engineering (TEECCON), 2023. doi: 10.1109/TEECCON59234.2023.10335865
  9. A High Speed MPPT Control Utilizing a Hybrid PSO-PID Controller under Partially Shaded Photovoltaic Battery Chargers

    Galal Al-Muthanna, Shuhua Fang, Ibrahim AL-Wesabi, Khaled Ameur, Hossam Kotb, Kareem M. AboRas, Hassan Z. Al Garni, Abdullahi Abubakar Mas’ud. Sustainability, 15 (4), 2023. doi: 10.3390/su15043578
  10. Code Smell Detection Using Whale Optimization Algorithm

    Moatasem M. Draz, Marwa S. Farhan, Sarah N. Abdulkader, M. G. Gafar. Computers, Materials & Continua, 68 (2), 2021. doi: 10.32604/cmc.2021.015586
  11. Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter

    Nivedita Singh, M. A. Ansari, Manoj Tripathy, Pratiksha Gupta, Ikbal Ali, Adel Saleh Rawea, Anjanee Kumar Mishra. International Transactions on Electrical Energy Systems, 2023 , 2023. doi: 10.1155/2023/5661381
  12. An Intelligent Improvement Based on a Novel Configuration of Artificial Neural Network Model to Track the Maximum Power Point of a Photovoltaic Panel

    Noamane Ncir, Nabil El Akchioui. Journal of Control, Automation and Electrical Systems, 34 (2), 2023. doi: 10.1007/s40313-022-00972-5
  13. A novel musical chairs algorithm applied for MPPT of PV systems

    Ali M. Eltamaly. Renewable and Sustainable Energy Reviews, 146 , 2021. doi: 10.1016/j.rser.2021.111135
  14. A Hybrid Whale Optimization Algorithm for Global Optimization

    Chun-Yao Lee, Guang-Lin Zhuo. Mathematics, 9 (13), 2021. doi: 10.3390/math9131477
  15. Radial Basis Function Based Meta-Heuristic Algorithms for Parameter Extraction of Photovoltaic Cell

    Peng He, Xinze Xi, Shengnan Li, Wenlong Qin, Chao Xing, Bo Yang. Processes, 11 (6), 2023. doi: 10.3390/pr11061606
  16. 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
  17. 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
  18. Revolutionizing Power Generation: Unleashing the Potential of PV Systems with Cutting-Edge FWA–ANN Adaptive Strategy

    Noamane Ncir, Nabil El Akchioui. Journal of Control, Automation and Electrical Systems, 35 (1), 2024. doi: 10.1007/s40313-023-01057-7
  19. Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

    D. E. Zabia, H. Afghoul, O. Kraa. Lecture Notes in Networks and Systems, 361 , 2022. doi: 10.1007/978-3-030-92038-8_12
  20. Global research trends on photovoltaic maximum power extraction: Systematic and scientometric analysis

    Hassan M. Hussein Farh, Ahmed Fathy, Abdullrahman A. Al-Shamma'a, Saad Mekhilef, Abdullah M. Al-Shaalan. Sustainable Energy Technologies and Assessments, 61 , 2024. doi: 10.1016/j.seta.2023.103585
  21. Exploration of different maximum power point tracking techniques for photovoltaic system

    Pankaj Rajbhoj, Satish Hamde. International Journal of Ambient Energy, 44 (1), 2023. doi: 10.1080/01430750.2022.2137584
  22. A REVIEW ON MPPT ALGORITHMS FOR SOLAR PV SYSTEMS

    S. Senthilkumar, Mohan V., Deepa R., Nuthal Srinivasan M., T. Senthil Kumar, Sudhakar Babu Thanikanti, Prathap N.. International Journal of Research -GRANTHAALAYAH, 11 (3), 2023. doi: 10.29121/granthaalayah.v11.i3.2023.5086
  23. Maximum Power Point Tracking of Single-Phase Grid Connected PV based DC Microgrid System using Modified BBO Algorithm with PR Controller

    Leelavathi E, Rohan Madnani, Mahesh Kumar Mishra. 2022 IEEE 10th Power India International Conference (PIICON), 2022. doi: 10.1109/PIICON56320.2022.10045005
  24. A Comprehensive Review on a PV Based System to Harvest Maximum Power

    Muhammad Yaqoob Javed, Adeel Feroz Mirza, Ali Hasan, Syed Tahir Hussain Rizvi, Qiang Ling, Muhammad Majid Gulzar, Muhammad Umair Safder, Majad Mansoor. Electronics, 8 (12), 2019. doi: 10.3390/electronics8121480
  25. Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems

    Annapoorani Subramanian, Jayaparvathy Raman. Automatika, 63 (1), 2022. doi: 10.1080/00051144.2021.1997253
  26. Novel yellow saddle goatfish algorithm for improving performance and efficiency of PV system under partial shading conditions

    Hadjer Azli, Sabrina Titri, Cherif Larbes, Karim Kaced, Karima Femmam. Solar Energy, 247 , 2022. doi: 10.1016/j.solener.2022.10.029
  27. Analysis and Evaluation of Photovoltaic Cell Defects and Their Impact on Electricity Generation

    Marek Pavlík, L’ubomír Beňa, Dušan Medved’, Zsolt Čonka, Michal Kolcun. Energies, 16 (6), 2023. doi: 10.3390/en16062576
  28. Enhancing Efficiency of Grid-Connected Solar Photovoltaic System with Particle Swarm Optimization & Long Short-Term Memory Hybrid Technique

    Ramakanta Jena, Ritesh Dash, Kalvakurthi Jyotheeswara Reddy, Prasanta Kumar Parida, Chittathuru Dhanamjayulu, Sarat Chandra Swain, S. M. Muyeen. Sustainability, 15 (11), 2023. doi: 10.3390/su15118535
  29. Handbook of Whale Optimization Algorithm

    Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S.P. da Silva, Erfan Amini, Mahdieh Nasiri, Seyedali Mirjalili. 2024. doi: 10.1016/B978-0-32-395365-8.00028-2
  30. 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
  31. ANA: Ant Nesting Algorithm for Optimizing Real-World Problems

    Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili. Mathematics, 9 (23), 2021. doi: 10.3390/math9233111
  32. 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
  33. Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues: A Comprehensive Review

    Hegazy Rezk, A. G. Olabi, Enas Taha Sayed, Tabbi Wilberforce. Sustainability, 15 (6), 2023. doi: 10.3390/su15064982
  34. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

    Bo Yang, Jingbo Wang, Xiaoshun Zhang, Tao Yu, Wei Yao, Hongchun Shu, Fang Zeng, Liming Sun. Energy Conversion and Management, 208 , 2020. doi: 10.1016/j.enconman.2020.112595
  35. A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array

    Mingxuan Mao, Xinying Feng, Jihao Xin, Tommy W. S. Chow. IEEE Transactions on Instrumentation and Measurement, 72 , 2023. doi: 10.1109/TIM.2022.3227552
  36. Design and performance analysis of opposition-based whale optimization algorithm tuned power system stabilizer for multimachine stability

    Rao B. Chiranjeev, Kumhar Sushil. i-manager's Journal on Power Systems Engineering, 10 (4), 2023. doi: 10.26634/jps.10.4.19277
  37. A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach

    Pawan Kumar Pathak, Anil Kumar Yadav, P. A. Alvi. Neural Computing and Applications, 34 (1), 2022. doi: 10.1007/s00521-021-06586-3
  38. A modified whale optimization algorithm for parameter estimation of software reliability growth models

    Kezhong Lu, Zongmin Ma. Journal of Algorithms & Computational Technology, 15 , 2021. doi: 10.1177/17483026211034442
  39. P2P Coordinated Control between SPV and STATCOM in a Microgrid for Power Quality Compensation Using LSTM–Genetic Algorithm

    Durgamadhab Swain, Meera Viswavandya, Ritesh Dash, Kalvakurthi Jyotheeswara Reddy, Dhanamjayulu Chittathuru, Arunkumar Gopal, Baseem Khan, Manam Ravindra. Sustainability, 15 (14), 2023. doi: 10.3390/su151410913
  40. A review of opposition-based whale optimization algorithm and whale optimization algorithm tuned power system stabilizer for multimachine stability

    Kumhar Sushil, Rao B. Chiranjeev. i-manager's Journal on Power Systems Engineering, 11 (1), 2023. doi: 10.26634/jps.11.1.19388
  41. 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
  42. An advanced intelligent MPPT control strategy based on the imperialist competitive algorithm and artificial neural networks

    Noamane Ncir, Nabil El Akchioui. Evolutionary Intelligence, 2023. doi: 10.1007/s12065-023-00838-y
  43. 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
  44. Solving nonlinear systems and unconstrained optimization problems by hybridizing whale optimization algorithm and flower pollination algorithm

    M.A. Tawhid, A.M. Ibrahim. Mathematics and Computers in Simulation, 190 , 2021. doi: 10.1016/j.matcom.2021.07.010
  45. A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

    Fares Berttahar, Sabrina Abdeddaim, Achour Betka, Charrouf Omar. Power Electronics and Drives, 9 (1), 2024. doi: 10.2478/pead-2024-0006
  46. Soft Computing for Problem Solving 2019

    Amarjeet Singh, Kusum Deep. Advances in Intelligent Systems and Computing, 1138 , 2020. doi: 10.1007/978-981-15-3290-0_2
  47. 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
  48. New perturb and observe algorithm based on trapezoidal rule: Uniform and partial shading conditions

    Neda Mahmod Mohammad Altwallbah, Mohd Amran Mohd Radzi, Norhafiz Azis, Suhaidi Shafie, Muhammad Ammirrul Atiqi Mohd Zainuri. Energy Conversion and Management, 264 , 2022. doi: 10.1016/j.enconman.2022.115738
  49. Future perspective and current situation of maximum power point tracking methods in thermoelectric generators

    Hayati Mamur, Mehmet Ali Üstüner, Mohammad Ruhul Amin Bhuiyan. Sustainable Energy Technologies and Assessments, 50 , 2022. doi: 10.1016/j.seta.2021.101824
  50. Performance Analysis of Different Optimization Algorithms for MPPT Control Techniques under Complex Partial Shading Conditions in PV Systems

    Nihat Pamuk. Energies, 16 (8), 2023. doi: 10.3390/en16083358
  51. Metaheuristic Optimization Algorithm-Based Enhancement of Photovoltaic Energy System Performance

    Rowan Nasr, Belal Abou-Zalam, Essam Nabil. Arabian Journal for Science and Engineering, 48 (11), 2023. doi: 10.1007/s13369-023-07847-0
  52. 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
  53. Artificial Neural Networks in MPPT Algorithms for Optimization of Photovoltaic Power Systems: A Review

    César G. Villegas-Mier, Juvenal Rodriguez-Resendiz, José M. Álvarez-Alvarado, Hugo Rodriguez-Resendiz, Ana Marcela Herrera-Navarro, Omar Rodríguez-Abreo. Micromachines, 12 (10), 2021. doi: 10.3390/mi12101260
  54. A fast and accurate sine-cosine MPPT algorithm under partial shading with implementation using arduino board

    Hicham Karmouni, Mohamed Chouiekh, Saad Motahhir, Hassan Qjidaa, Mohamed Ouazzani Jamil, Mhamed Sayyouri. Cleaner Engineering and Technology, 9 , 2022. doi: 10.1016/j.clet.2022.100535
  55. An Optimized Synergetic Nonlinear Controller (OSNC) based maximum power point tracking for a standalone photovoltaic system using a boost converter

    Awe Taissala, Deli Goron, Nicodem Nisso, Dieudonné Kaoga Kidmo, Paul-Salomon Ngohe Ekam, Fabrice Kwefeu Mbakop, Noël Djongyang. Energy Reports, 8 , 2022. doi: 10.1016/j.egyr.2022.06.094
  56. Modern Maximum Power Point Tracking Techniques for Photovoltaic Energy Systems

    Hassan M. H. Farh, Ali M. Eltamaly. Green Energy and Technology, 2020. doi: 10.1007/978-3-030-05578-3_4
  57. 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
  58. 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
  59. 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
  60. Recent developments of MPPT techniques for PV systems under partial shading conditions: a critical review and performance evaluation

    Mostefa Kermadi, Zainal Salam, Ali M. Eltamaly, Jubaer Ahmed, Saad Mekhilef, Cherif Larbes, El Madjid Berkouk. IET Renewable Power Generation, 14 (17), 2020. doi: 10.1049/iet-rpg.2020.0454
  61. 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, 153 , 2018. doi: 10.1016/j.energy.2018.04.052
  62. Design of the Adaptive Neuro-Fuzzy Inference System (ANFIS) and a Genetic Algorithm Controller for Solar Photovoltaic Systems Using the Boost Converter

    Thanh Ha Vo. Journal of Technical Education Science, 2023. doi: 10.54644/jte.78A.2023.1439
  63. Effective Load Frequency Control of Power System with Two-Degree Freedom Tilt-Integral-Derivative Based on Whale Optimization Algorithm

    Preeti Ranjan Sahu, Kumaraswamy Simhadri, Banaja Mohanty, Prakash Kumar Hota, Almoataz Y. Abdelaziz, Fahad Albalawi, Sherif S. M. Ghoneim, Mahmoud Elsisi. Sustainability, 15 (2), 2023. doi: 10.3390/su15021515

Last update: 2024-03-27 00:11:52

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

    Bo Yang, Tianjiao Zhu, Jingbo Wang, Hongchun Shu, Tao Yu, Xiaoshun Zhang, Wei Yao, Liming Sun. Journal of Cleaner Production, 268 , 2020. doi: 10.1016/j.jclepro.2020.121983
  2. Research on New Adaptive Whale Algorithm

    Xuan Chen. 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

    Muhammad Yaqoob Javed, Adeel Feroz Mirza, Ali Hasan, Syed Tahir Hussain Rizvi, Qiang Ling, Muhammad Majid Gulzar, Muhammad Umair Safder, Majad Mansoor. 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

    Bo Yang, Jingbo Wang, Xiaoshun Zhang, Tao Yu, Wei Yao, Hongchun Shu, Fang Zeng, Liming Sun. Energy Conversion and Management, 208 , 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

    Hegazy Rezk, Mazen AL-Oran, Mohamed R. Gomaa, Mohamed A. Tolba, Ahmed Fathy, Mohammad Ali Abdelkareem, A.G. Olabi, Abou Hashema M. El-Sayed. 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, 153 , 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