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A Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Condition

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dc.citedby2
dc.contributor.authorKoh J.S.en_US
dc.contributor.authorTan R.H.G.en_US
dc.contributor.authorLim W.H.en_US
dc.contributor.authorTan N.M.L.en_US
dc.contributor.authorid58127236400en_US
dc.contributor.authorid35325391900en_US
dc.contributor.authorid57224979685en_US
dc.contributor.authorid24537965000en_US
dc.date.accessioned2025-03-03T07:48:15Z
dc.date.available2025-03-03T07:48:15Z
dc.date.issued2024
dc.description.abstractConventional 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ACCESS.2024.3380844
dc.identifier.epage43644
dc.identifier.scopus2-s2.0-85188916234
dc.identifier.spage43632
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85188916234&doi=10.1109%2fACCESS.2024.3380844&partnerID=40&md5=01a5f39fa38f5749093574e729b1fdc6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37173
dc.identifier.volume12
dc.pagecount12
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.subjectGlobal optimization
dc.subjectInference engines
dc.subjectInteractive computer systems
dc.subjectReal time systems
dc.subjectSolar panels
dc.subjectSolar power generation
dc.subjectComplex partial shading
dc.subjectInference algorithm
dc.subjectMaximum Power Point Tracking
dc.subjectMetaheuristic
dc.subjectPartial shading
dc.subjectPeak hopping
dc.subjectPeak hopping algorithm
dc.subjectPhotovoltaics
dc.subjectPrediction algorithms
dc.subjectReal - Time system
dc.subjectSolar panels
dc.subjectMaximum power point trackers
dc.titleA Real-Time Deterministic Peak Hopping Maximum Power Point Tracking Algorithm for Complex Partial Shading Conditionen_US
dc.typeArticleen_US
dspace.entity.typePublication
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