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 fewer pea...
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2025
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| author | Koh J.S. Tan R.H.G. Lim W.H. Tan N.M.L. |
| author2 | 58127236400 |
| author_facet | 58127236400 Koh J.S. Tan R.H.G. Lim W.H. Tan N.M.L. |
| author_sort | Koh J.S. |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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%. ? 2013 IEEE. |
| format | Article |
| id | my.uniten.dspace-37173 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-371732025-03-03T15:48:15Z A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition Koh J.S. Tan R.H.G. Lim W.H. Tan N.M.L. 58127236400 35325391900 57224979685 24537965000 Global optimization Inference engines Interactive computer systems Real time systems Solar panels Solar power generation Complex partial shading Inference algorithm Maximum Power Point Tracking Metaheuristic Partial shading Peak hopping Peak hopping algorithm Photovoltaics Prediction algorithms Real - Time system Solar panels Maximum power point trackers 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%. ? 2013 IEEE. Final 2025-03-03T07:48:15Z 2025-03-03T07:48:15Z 2024 Article 10.1109/ACCESS.2024.3380844 2-s2.0-85188916234 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188916234&doi=10.1109%2fACCESS.2024.3380844&partnerID=40&md5=01a5f39fa38f5749093574e729b1fdc6 https://irepository.uniten.edu.my/handle/123456789/37173 12 43632 43644 All Open Access; Gold Open Access Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Global optimization Inference engines Interactive computer systems Real time systems Solar panels Solar power generation Complex partial shading Inference algorithm Maximum Power Point Tracking Metaheuristic Partial shading Peak hopping Peak hopping algorithm Photovoltaics Prediction algorithms Real - Time system Solar panels Maximum power point trackers Koh J.S. Tan R.H.G. Lim W.H. Tan N.M.L. A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition |
| 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 | Global optimization Inference engines Interactive computer systems Real time systems Solar panels Solar power generation Complex partial shading Inference algorithm Maximum Power Point Tracking Metaheuristic Partial shading Peak hopping Peak hopping algorithm Photovoltaics Prediction algorithms Real - Time system Solar panels Maximum power point trackers |
| url_provider | http://dspace.uniten.edu.my/ |