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  1. National Taiwan Ocean University Research Hub
  2. 海運暨管理學院
  3. 輪機工程學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/26680
DC FieldValueLanguage
dc.contributor.authorWang, Shun-Chungen_US
dc.contributor.authorLiu, Yi-Huaen_US
dc.date.accessioned2026-08-10T03:11:46Z-
dc.date.available2026-08-10T03:11:46Z-
dc.date.issued2026/5/6-
dc.identifier.issn2079-9292-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/26680-
dc.description.abstractThis study introduces a novel Flexible Power Point Tracking (FPPT) algorithm for photovoltaic (PV) systems, designed to optimize power control under varying environmental conditions with low computational complexity. The proposed method leverages simple multiplication and addition operations, eliminating the need for additional hardware, and employs adaptive step sizes to enhance transient and steady-state performance. Comprehensive simulations across 60 irradiance/temperature scenarios and three test cases demonstrate its superiority over seven state-of-the-art methods. In constant power control (CPC) mode, the algorithm achieves the lowest power loss (8.24 Ws) and fastest tracking time (0.295 s), surpassing the second-best method by 30.8% in energy savings. In power reserve control (PRC) mode, it achieves a power loss of 13.02 Ws and an accuracy of 99.90%, outperforming competitors by 7.2% in energy efficiency. Experimental validation using a TMS320F280049 processor confirms consistent performance, with dynamic tests showing rapid mode switching (e.g., 50 W to 150 W in CPC). The algorithm's seamless integration into existing grid-connected PV systems and its ability to minimize oscillations highlight its practical and performance advantages, making it a significant advancement in FPPT technology for reliable and efficient PV power regulation.en_US
dc.language.isoEnglishen_US
dc.publisherMDPIen_US
dc.relation.ispartofELECTRONICSen_US
dc.subjectflexible power point trackingen_US
dc.subjectphotovoltaic systemsen_US
dc.subjectadaptive step sizeen_US
dc.subjectconstant power controlen_US
dc.subjectpower reserve controlen_US
dc.titleA Novel and Efficient Flexible Power Point Tracking Algorithm for Grid-Connected PV Systems Under Rapidly Changing Environmentsen_US
dc.typejournal articleen_US
dc.identifier.doi10.3390/electronics15091961-
dc.identifier.isiWOS:001763453100001-
dc.relation.journalvolume15en_US
dc.relation.journalissue9en_US
item.fulltextno fulltext-
item.languageiso639-1English-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextnone-
item.openairetypejournal article-
item.cerifentitytypePublications-
Appears in Collections:輪機工程學系
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