MPPT Method Based on Novel Approach for Stand-Alone PV Power Conversion Systems

被引：0

作者：

Sy Ngo ^{[1
]}

Tien-Thanh Do ^{[1
]}

Cao-Tri Nguyen ^{[1
]}

机构：

[1] Thu Dau Mot Univ, Inst Engn & Technol, Thu Dau Mot, Vietnam

来源：

COMPUTATIONAL INTELLIGENCE METHODS FOR GREEN TECHNOLOGY AND SUSTAINABLE DEVELOPMENT, GTSD2024, VOL 2 | 2024年 / 1199卷

关键词：

Incremental conductance; MPPT; renewable energy; ALGORITHM;

D O I：

10.1007/978-3-031-76232-1_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The two most popular techniques for finding the maximum power point (MPP) of the solar system are the incremental conductance (InC) and perturbation and observation (P&O) approach. These techniques benefit from simple algorithms, user-friendliness, and quick convergence times. Besides, the large oscillation around MPP, not finding the global MPP under partial shading conditions are disadvantages of these methods. This research proposes theMPPtracking method based on the novel methodology to address the aforementioned issue. The proposed InC method has attained the global MPP more quickly than the standard techniques based on the benefits of simplicity and quick convergence speed of the traditional InC method. The simulation results proved that the proposed method converged with the time from 0.23 s to 0.25 s, faster than the conventional InC method from 0.17 s to 0.55 s.

引用

页码：136 / 147

页数：12

共 50 条

[31] Implementation of a novel robust model reference adaptive controller-based MPPT for stand-alone and grid-connected photovoltaic system [J].

Manna, Saibal ;

Akella, Ashok Kumar ;

Singh, Deepak Kumar .

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (01) :1321-1345

[32] Nonlinear robust integral backstepping based MPPT control for stand-alone photovoltaic system [J].

Ali, Kamran ;

Khan, Qudrat ;

Ullah, Shafaat ;

Khan, Ilyas ;

Khan, Laiq .

PLOS ONE, 2020, 15 (05)

[33] Efficiency Optimization and Power Management in a Stand-Alone Photovoltaic (PV) Water Pumping System [J].

Mirshekarpour, Behzad ;

Davari, S. Alireza .

2016 7TH POWER ELECTRONICS AND DRIVE SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC), 2016, :427-433

[34] A novel MPPT method for PV systems with irradiance measurement [J].

Bayod-Rujula, Angel-Antonio ;

Cebollero-Abian, Jose-Antonio .

SOLAR ENERGY, 2014, 109 :95-104

[35] Stand-alone Photovoltaic/Wind Energy Hybrid Generation System with MPPT for Rural Applications [J].

Karthikeyan, R. ;

Mahalakshmi, P. ;

GowriShankar, N. .

2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,

[36] A design methodology of stand-alone photovoltaic power systems for rural electrification [J].

Ghaib, Karim ;

Ben-Fares, Fatima-Zahrae .

ENERGY CONVERSION AND MANAGEMENT, 2017, 148 :1127-1141

[37] Stand-alone hybrid energy systems for remote area power generation [J].

Razmjoo, Armin ;

Shirmohammadi, Reza ;

Davarpanah, Afshin ;

Pourfayaz, Fathollah ;

Aslani, Alireza .

ENERGY REPORTS, 2019, 5 :231-241

[38] Neuro based Integral Terminal Sliding Mode Nonlinear MPPT Control Paradigms for Stand-Alone Photovoltaic System [J].

Khan, Zain Ahmad ;

Khan, Laiq ;

Khan, Qudrat ;

Khan, Umar Habib ;

Karam, Fazal Wahab ;

Khan, Malak Adnan .

2019 22ND IEEE INTERNATIONAL MULTI TOPIC CONFERENCE (INMIC), 2019, :53-60

[39] Optimal Sizing of Stand-alone PV System Using Grey Wolf Optimization [J].

Khalil, Ashraf ;

Asheibi, Ali .

2019 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING RESEARCH & PRACTICE (ICEERP-2019), 2019, :88-93

[40] Application of Radial Basis Neural Network in MPPT Technique for Stand-Alone PV System Under Partial Shading Conditions [J].

Bollipo, Ratnakar Babu ;

Mikkili, Suresh ;

Bonthagorla, Praveen Kumar .

IETE JOURNAL OF RESEARCH, 2023, 69 (09) :6409-6430

← 1 2 3 4 5 →