A Scheme-Based Review of MPPT Techniques With Respect to Input Variables Including Solar Irradiance and PV Arrays' Temperature

被引:80
作者
Hanzaei, Saeed H. [1 ]
Gorji, Saman A. [2 ]
Ektesabi, Mehran [1 ]
机构
[1] Swinburne Univ Technol, Sch Software & Elect Engn, Hawthorn, Vic 3122, Australia
[2] Queensland Univ Technol, Inst Future Environm, Brisbane, Qld 4000, Australia
关键词
Solar photovoltaic; maximum power point tracking (MPPT); solar renewable energy system; power conversion efficiency; POWER POINT TRACKING; PHOTOVOLTAIC SYSTEMS; ALGORITHM; COLONY; CONTROLLER; ACCURACY; CIRCUIT;
D O I
10.1109/ACCESS.2020.3028580
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Maximum power point tracking (MPPT) techniques have been vastly researched and developed in order to obtain the maximum terminal power of photovoltaic (PV) arrays in the solar renewable energy system. The aim of this paper is to present a new principal scheme-based review of the categorised MPPT methods (conventional, novel, and hybrid) with respect to the deployment of their input variables (solar irradiance, PV arrays' temperature, and PV arrays' terminal voltage and current), where MPPT methods are categorised to six different schemes. For each scheme, previous MPPT studies are extracted from literature and analysed. Then the critical benefits and limitations of the six presented MPPT schemes are compared and discussed. It is concluded that those MPPT schemes deploying the measured external variables would be able to track the global maximum power point with high reliability; however, their implementation cost and applicability remains as a challenge due to increasing the sensor deployment cost and complexity. The conclusion of this paper will help new researchers to deliberately select an appropriate MPPT scheme based on their projects' objectives and limitations, prior to selecting an optimisation algorithm for MPPT.
引用
收藏
页码:182229 / 182239
页数:11
相关论文
共 58 条
[31]   A comprehensive review of maximum power point tracking algorithms for photovoltaic systems [J].
Kamarzaman, Nur Atharah ;
Tan, Chee Wei .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 37 :585-598
[32]   Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: Comparative study [J].
Kermadi, Mostefa ;
Berkouk, El Madjid .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 69 :369-386
[33]   An improved MPPT scheme employing adaptive integral derivative sliding mode control for photovoltaic systems under fast irradiation changes [J].
Kihal, Abbes ;
Krim, Fateh ;
Laib, Abdelbaset ;
Talbi, Billel ;
Afghoul, Hamza .
ISA TRANSACTIONS, 2019, 87 :297-306
[34]   A reinforcement learning approach for MPPT control method of photovoltaic sources [J].
Kofinas, P. ;
Doltsinis, S. ;
Dounis, A. I. ;
Vouros, G. A. .
RENEWABLE ENERGY, 2017, 108 :461-473
[35]   A comparative study of maximum power point tracking methods for a photovoltaic-based water pumping system [J].
Kumar, Bhavnesh ;
Chauhan, Yogesh K. ;
Shrivastava, Vivek .
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2014, 33 (04) :797-810
[36]   A novel MPPT circuit with 99.1% tracking accuracy for energy harvesting [J].
Li, Yani ;
Tang, Ziyue ;
Zhu, Zhangming ;
Yang, Yintang .
ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2018, 94 (01) :105-115
[37]   Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis [J].
Lyden, S. ;
Hague, M. E. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 52 :1504-1518
[38]   MPPT in PV systems under partial shading conditions using artificial vision [J].
Martin, Aranzazu D. ;
Vazquez, Jesus R. ;
Cano, J. M. .
ELECTRIC POWER SYSTEMS RESEARCH, 2018, 162 :89-98
[39]   A Salp-Swarm Optimization based MPPT technique for harvesting maximum energy from PV systems under partial shading conditions [J].
Mirza, Adeel Feroz ;
Mansoor, Majad ;
Ling, Qiang ;
Yin, Baoqun ;
Javed, M. Yaqoob .
ENERGY CONVERSION AND MANAGEMENT, 2020, 209
[40]   A hybrid maximum power point tracking method for photovoltaic systems [J].
Moradi, Mohammad H. ;
Reisi, Ali Reza .
SOLAR ENERGY, 2011, 85 (11) :2965-2976