Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid
IntroductionPhotovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior. Operating current and voltage fluctuations, driven by temperature and radiation changes, sign...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-01-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1505419/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841561173200207872 |
|---|---|
| author | Burhan U. Din Abdullah Suman Lata Dhar Shiva Pujan Jaiswal Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammad Alqahtani Muhammad Khalid Muhammad Khalid |
| author_facet | Burhan U. Din Abdullah Suman Lata Dhar Shiva Pujan Jaiswal Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammad Alqahtani Muhammad Khalid Muhammad Khalid |
| author_sort | Burhan U. Din Abdullah |
| collection | DOAJ |
| description | IntroductionPhotovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior. Operating current and voltage fluctuations, driven by temperature and radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. While Artificial Intelligence (AI) and optimization techniques show promise, their implementation complexity and longer attainment times for Maximum Power Point (MPP) hinder widespread adoption.MethodThis paper proposes a hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with the Perturb and Observe algorithm (P&O) for a grid-connected photovoltaic system (PV). The proposed technique consists of two loops: PO as the reference point setting loop (inner loop) and POA as a fine-tuning (outer)loop. The combination of inner and outer loops minimizes oscillations by adjusting the perturbation direction and enhancing the convergence speed of the MPPT.Results and DiscussionTo validate the efficacy of the proposed MPPT technique for different environmental conditions, a comprehensive comparison is conducted between the proposed hybrid pelican and perturb and observe (HPPO) technique and other MPPT algorithms. The proposed technique has optimized PV and grid outputs with an MPPT efficiency of 99%, best tracking speed, and total harmonic distortion (THD) for all conditions below 5% agree with IEEE 519 standards. |
| format | Article |
| id | doaj-art-366c50f9888b4fe781ad9c80b12f60eb |
| institution | Kabale University |
| issn | 2296-598X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj-art-366c50f9888b4fe781ad9c80b12f60eb2025-01-03T04:12:06ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2025-01-011210.3389/fenrg.2024.15054191505419Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected gridBurhan U. Din Abdullah0Suman Lata Dhar1Shiva Pujan Jaiswal2Muhammad Majid Gulzar3Muhammad Majid Gulzar4Mohammad Alqahtani5Muhammad Khalid6Muhammad Khalid7Electrical Electronics and Communication Engineering Department, Sharda University, Greater Noida, IndiaElectrical Electronics and Communication Engineering Department, Sharda University, Greater Noida, IndiaElectrical Electronics and Communication Engineering Department, Sharda University, Greater Noida, IndiaDepartment of Control and Instrumentation Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi ArabiaInterdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), KFUPM, Dhahran, Saudi ArabiaDepartment of Industrial Engineering and Center for Engineering and Technology Innovations, King Khalid University, Abha, Saudi ArabiaInterdisciplinary Research Center for Sustainable Energy Systems (IRC-SES), KFUPM, Dhahran, Saudi ArabiaElectrical Engineering Department, KFUPM, Dhahran, Saudi ArabiaIntroductionPhotovoltaic systems offer immense potential as a future energy source, yet maximizing their efficiency presents challenges, notably in achieving optimal voltage due to their nonlinear behavior. Operating current and voltage fluctuations, driven by temperature and radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. While Artificial Intelligence (AI) and optimization techniques show promise, their implementation complexity and longer attainment times for Maximum Power Point (MPP) hinder widespread adoption.MethodThis paper proposes a hybrid MPPT technique that integrates the Pelican Optimization algorithm (POA) with the Perturb and Observe algorithm (P&O) for a grid-connected photovoltaic system (PV). The proposed technique consists of two loops: PO as the reference point setting loop (inner loop) and POA as a fine-tuning (outer)loop. The combination of inner and outer loops minimizes oscillations by adjusting the perturbation direction and enhancing the convergence speed of the MPPT.Results and DiscussionTo validate the efficacy of the proposed MPPT technique for different environmental conditions, a comprehensive comparison is conducted between the proposed hybrid pelican and perturb and observe (HPPO) technique and other MPPT algorithms. The proposed technique has optimized PV and grid outputs with an MPPT efficiency of 99%, best tracking speed, and total harmonic distortion (THD) for all conditions below 5% agree with IEEE 519 standards.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1505419/fullpelican optimization algorithmperturb and observe algorithmhybrid MPPTgridlinked photovoltaic systempower system |
| spellingShingle | Burhan U. Din Abdullah Suman Lata Dhar Shiva Pujan Jaiswal Muhammad Majid Gulzar Muhammad Majid Gulzar Mohammad Alqahtani Muhammad Khalid Muhammad Khalid Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid Frontiers in Energy Research pelican optimization algorithm perturb and observe algorithm hybrid MPPT gridlinked photovoltaic system power system |
| title | Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid |
| title_full | Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid |
| title_fullStr | Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid |
| title_full_unstemmed | Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid |
| title_short | Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid |
| title_sort | hybrid mppt control using hybrid pelican optimization algorithm with perturb and observe for pv connected grid |
| topic | pelican optimization algorithm perturb and observe algorithm hybrid MPPT gridlinked photovoltaic system power system |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1505419/full |
| work_keys_str_mv | AT burhanudinabdullah hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT sumanlatadhar hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT shivapujanjaiswal hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT muhammadmajidgulzar hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT muhammadmajidgulzar hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT mohammadalqahtani hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT muhammadkhalid hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid AT muhammadkhalid hybridmpptcontrolusinghybridpelicanoptimizationalgorithmwithperturbandobserveforpvconnectedgrid |