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An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading
Li, Hong1; Yang, Duo2; Su, Wenzhe1; Lu, Jinhu3,4,5,6; Yu, Xinghuo7
2019
Source PublicationIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN0278-0046
Volume66Issue:1Pages:265-275
AbstractSolar photovoltaic (PV) systems under partial shading conditions (PSCs) have a nonmonotonic P-V characteristic with multiple local maximum power points, which makes the existing maximum power point tracking (MPPT) algorithms unsatisfactory performance for global MPPT, if not invalid. This paper proposes a novel overall distribution (OD) MPPT algorithm to rapidly search the area near the global maximum power points, which is further integrated with the particle swarm optimization (PSO) MPPT algorithm to improve the accuracy of MPPT. Through simulations and experimentations, the higher effectiveness and accuracy of the proposed OD-PSO MPPT algorithm in solar PV systems is demonstrated in comparison to two existing artificial intelligence MPPT algorithms.
KeywordMaximum power point tracking (MPPT) particle swarm optimization (PSO) partial shading conditions (PSCs) solar photovoltaic (PV) systems
DOI10.1109/TIE.2018.2829668
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFB0800401] ; General Programs of the National Natural Science Foundation of China[51577010] ; General Programs of the National Natural Science Foundation of China[51777012] ; General Programs of the National Natural Science Foundation of China[61621003] ; General Programs of the National Natural Science Foundation of China[61532020] ; Fundamental Research Funds for the Central Universities[2017JBM054]
WOS Research AreaAutomation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000443894700026
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/30920
Collection系统科学研究所
Affiliation1.Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
2.Railway Sci Corp Ltd, China Acad, Beijing 100081, Peoples R China
3.Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China
4.Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Machine, Beijing 100083, Peoples R China
5.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.RMIT Univ, Melbourne, Vic 3000, Australia
Recommended Citation
GB/T 7714
Li, Hong,Yang, Duo,Su, Wenzhe,et al. An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2019,66(1):265-275.
APA Li, Hong,Yang, Duo,Su, Wenzhe,Lu, Jinhu,&Yu, Xinghuo.(2019).An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,66(1),265-275.
MLA Li, Hong,et al."An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 66.1(2019):265-275.
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