A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition
Conventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of the latest maximum power point tracking (MPPT) algorithms are designed to handle simpler PSCs with fe...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478008/ |
| _version_ | 1797236549625053184 |
|---|---|
| author | Jia Shun Koh Rodney H. G. Tan Wei Hong Lim Nadia M. L. Tan |
| author_facet | Jia Shun Koh Rodney H. G. Tan Wei Hong Lim Nadia M. L. Tan |
| author_sort | Jia Shun Koh |
| collection | DOAJ |
| description | Conventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of the latest maximum power point tracking (MPPT) algorithms are designed to handle simpler PSCs with fewer peaks, their capability to handle highly complex PSCs remains uncertain. This study presented more practical, challenging, and complex PSCs that have over five peaks and extremely close peak values. A new deterministic peak hopping (PH)-based MPPT algorithm with simple mechanisms is proposed to address these complex PSCs. An agent is utilized to scan and hop between the lower and higher duty cycle regions of P-V curve with optimum step size, thereby effectively narrowing down the tracking region, moving towards the GMPP. Additionally, the proposed algorithm utilizes an adjustable sampling time during scanning and hopping process to accelerate the convergence. Extensive simulation studies have revealed the effectiveness of the proposed algorithm in tracking GMPP. Moreover, the proposed algorithm outperforms five of the latest MPPT algorithms. In experimental setup, the proposed algorithm is successfully implemented into real-time TI C2000 microcontroller and performed robustly using ITECH IT6012C-800-40 PV simulator, achieving tracking time shorter than 0.83s and tracking accuracy over 98.70%. |
| first_indexed | 2024-04-24T17:05:37Z |
| format | Article |
| id | doaj.art-13c4f4bed7164d8382ab20ee4724e715 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T17:05:37Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-13c4f4bed7164d8382ab20ee4724e7152024-03-28T23:00:20ZengIEEEIEEE Access2169-35362024-01-0112436324364410.1109/ACCESS.2024.338084410478008A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading ConditionJia Shun Koh0https://orcid.org/0000-0002-5068-1583Rodney H. G. Tan1https://orcid.org/0000-0002-2364-6088Wei Hong Lim2https://orcid.org/0000-0003-1673-8088Nadia M. L. Tan3https://orcid.org/0000-0002-1368-0215Faculty of Engineering, Technology and Built Environment, UCSI University, Cheras, Kuala Lumpur, MalaysiaFaculty of Engineering, Technology and Built Environment, UCSI University, Cheras, Kuala Lumpur, MalaysiaFaculty of Engineering, Technology and Built Environment, UCSI University, Cheras, Kuala Lumpur, MalaysiaKey Laboratory of More Electric Aircraft Technology of Zhejiang Province, University of Nottingham Ningbo China, Ningbo, ChinaConventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of the latest maximum power point tracking (MPPT) algorithms are designed to handle simpler PSCs with fewer peaks, their capability to handle highly complex PSCs remains uncertain. This study presented more practical, challenging, and complex PSCs that have over five peaks and extremely close peak values. A new deterministic peak hopping (PH)-based MPPT algorithm with simple mechanisms is proposed to address these complex PSCs. An agent is utilized to scan and hop between the lower and higher duty cycle regions of P-V curve with optimum step size, thereby effectively narrowing down the tracking region, moving towards the GMPP. Additionally, the proposed algorithm utilizes an adjustable sampling time during scanning and hopping process to accelerate the convergence. Extensive simulation studies have revealed the effectiveness of the proposed algorithm in tracking GMPP. Moreover, the proposed algorithm outperforms five of the latest MPPT algorithms. In experimental setup, the proposed algorithm is successfully implemented into real-time TI C2000 microcontroller and performed robustly using ITECH IT6012C-800-40 PV simulator, achieving tracking time shorter than 0.83s and tracking accuracy over 98.70%.https://ieeexplore.ieee.org/document/10478008/Complex partial shadingmaximum power point trackingpeak hopping algorithmphotovoltaic |
| spellingShingle | Jia Shun Koh Rodney H. G. Tan Wei Hong Lim Nadia M. L. Tan A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition IEEE Access Complex partial shading maximum power point tracking peak hopping algorithm photovoltaic |
| title | A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| title_full | A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| title_fullStr | A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| title_full_unstemmed | A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| title_short | A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| title_sort | real time deterministic peak hopping maximum power point tracking algorithm for complex partial shading condition |
| topic | Complex partial shading maximum power point tracking peak hopping algorithm photovoltaic |
| url | https://ieeexplore.ieee.org/document/10478008/ |
| work_keys_str_mv | AT jiashunkoh arealtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT rodneyhgtan arealtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT weihonglim arealtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT nadiamltan arealtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT jiashunkoh realtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT rodneyhgtan realtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT weihonglim realtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition AT nadiamltan realtimedeterministicpeakhoppingmaximumpowerpointtrackingalgorithmforcomplexpartialshadingcondition |