Fraction Open Circuit and Fractional Short Circuit Based Incremental Conductance Maximum Power Point Tracking Controller

被引:5
作者
Alsulami, Ahmed F. [1 ]
Al Arefi, Salma M. S. [2 ]
机构
[1] Univ Leeds, Sch Elect & Elect Engn, Leeds, W Yorkshire, England
[2] Univ Leeds, MIEEE Sch Elect & Elect Engn, Leeds, W Yorkshire, England
来源
10TH IEEE INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA 2021) | 2021年
关键词
incremental conductance; fractional open circuit; maximum power point; artificial intelligence; fractional short circuit; HYBRID MPPT;
D O I
10.1109/ICRERA52334.2021.9598557
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The intermittent nature of the supply source along with the inherent characteristics of the conversion device poses greater challenges in the efficient utilization of solar PV systems. Rapid and robust controllers are thus essential for maximum power conversion of solar power available for harnessing. An enhanced Incremental Conductance (InC) based maximum power point tracking (MPPT) controller is introduced in this paper. The novelty of the proposed controller lies in the use of Fractional Open Circuit (FOC) combined with Fractional Short Circuit (FSC) principles to create a defined search range for InC controller. This has shown to reduce the response to 0.25 ms, allowing for rapid response. Comparative analysis with an adoptive Perturb and Observe MPPT has shown an improvement in response time by 483%. Further addition of fuzzy logic control allows for a more robust control with a settling time of 0.72 ms and overshoot of 0.57 V, improved by 330% and 57.8%, respectively. MATLAB/Simulink simulation of the proposed methods and analysis of the findings are presented in this paper.
引用
收藏
页码:184 / 189
页数:6
相关论文
共 19 条
  • [1] Investigation of MPPT Techniques Under Uniform and Non-Uniform Solar Irradiation Condition-A Retrospection
    Ali, Amjad
    Almutairi, Khalid
    Padmanaban, Sanjeevikumar
    Tirth, Vineet
    Algarni, Salem
    Irshad, Kashif
    Islam, Saiful
    Zahir, Md Hasan
    Shafiullah, Md
    Malik, Muhammad Zeeshan
    [J]. IEEE ACCESS, 2020, 8 : 127368 - 127392
  • [2] Improved Fractional Open Circuit Voltage MPPT Methods for PV Systems
    Baimel, Dmitry
    Tapuchi, Saad
    Levron, Yoash
    Belikov, Jun
    [J]. ELECTRONICS, 2019, 8 (03):
  • [3] Hybrid maximum power point tracking techniques: A comparative survey, suggested classification and uninvestigated combinations
    Batarseh, Majd Ghazi
    Za'ter, Muhy Eddin
    [J]. SOLAR ENERGY, 2018, 169 : 535 - 555
  • [4] Boukenoui R, 2015, INT CONF RENEW ENERG, P1095, DOI 10.1109/ICRERA.2015.7418579
  • [5] A modified Perturb & Observe MPPT technique to tackle steady state and rapidly varying atmospheric conditions
    Devi, V. Kamala
    Premkumar, K.
    Beevi, A. Bisharathu
    Ramaiyer, S.
    [J]. SOLAR ENERGY, 2017, 157 : 419 - 426
  • [6] A comparative investigation of maximum power point tracking methods for solar PV system
    Gupta, Ankit
    Chauhan, Yogesh K.
    Pachauri, Rupendra Kumar
    [J]. SOLAR ENERGY, 2016, 136 : 236 - 253
  • [7] Haeberlin H., 2006, MEASUREMENT DYNAMIC
  • [8] A performance evaluation model of a high concentration photovoltaic module with a fractional open circuit voltage-based maximum power point tracking algorithm
    Huang, Yu-Pei
    Hsu, Sheng-Yu
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2016, 51 : 331 - 342
  • [9] Jiang LL, 2014, 2014 IEEE 40TH PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC), P782, DOI 10.1109/PVSC.2014.6925034
  • [10] Labeeb K, 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), P1533, DOI 10.1109/RTEICT.2016.7808089