Simplified accelerated particle swarm optimisation algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems

被引:37
|
作者
Rajendran, Subha [1 ]
Srinivasan, Himavathi [2 ]
机构
[1] Sir M Visvesvaraya Inst Technol, Dept Elect & Elect Engn, Bangalore, Karnataka, India
[2] Pondicherry Engn Coll, Dept Elect & Elect Engn, Pondicherry 605014, India
关键词
PV SYSTEMS; ARRAY; MPPT;
D O I
10.1049/iet-rpg.2016.0114
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Photovoltaic (PV) systems are becoming increasingly popular due to its advantages such as abundant availability, eco-friendly nature and low maintenance requirement. In large PV arrays occurrence of partial shading is very high. Under partially shaded conditions the P-V curve of the array exhibits multiple peaks and the conventional maximum power point tracking (MPPT) algorithms fail to detect the global peak. Recently particle swarm optimisation (PSO) technique has gained significant attention due to its ability to locate the maximum power point for any type of P-V curve. Many variations of PSO algorithm to improve its effectiveness are also available. One variation is the accelerated PSO (APSO) where the algorithm is modified to simplify the search process. This study proposes a simple and efficient MPPT for a PV system using a modified APSO algorithm. The proposed algorithm has been validated through simulation and experimental setup for different shading patterns.
引用
收藏
页码:1340 / 1347
页数:8
相关论文
共 50 条
  • [1] Accelerated Particle Swarm Optimization Algorithm for Maximum Power Point Tracking in Partially Shaded PV Systems
    Subha, R.
    Himavathi, S.
    2016 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL ENERGY SYSTEMS (ICEES), 2016, : 232 - 236
  • [2] Maximum Power Point Tracking of Partially Shaded Photovoltaic Arrays using Particle Swarm Optimization
    Teo, Kenneth Tze Kin
    Lim, Pei Yi
    Chua, Bih Lii
    Goh, Hui Hwang
    Tan, Min Keng
    PROCEEDINGS 2014 4TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE WITH APPLICATIONS IN ENGINEERING AND TECHNOLOGY ICAIET 2014, 2014, : 247 - 252
  • [3] Maximum Power Point Tracking for Photovoltaic Systems Operating under Partially Shaded Conditions Using SALP Swarm Algorithm
    Tightiz, Lilia
    Mansouri, Saeedeh
    Zishan, Farhad
    Yoo, Joon
    Shafaghatian, Nima
    ENERGIES, 2022, 15 (21)
  • [4] A grasshopper optimization algorithm aided maximum power point tracking for partially shaded photovoltaic systems
    Sridhar, R.
    Subramani, C.
    Pathy, Somashree
    COMPUTERS & ELECTRICAL ENGINEERING, 2021, 92
  • [5] Maximum power point tracking in partially shaded photovoltaic systems using grasshopper optimization algorithm
    Tabar, Sadegh Mahmoodi
    Shahnazari, Mostafa
    Heshmati, Kamila
    IET RENEWABLE POWER GENERATION, 2023, 17 (02) : 389 - 399
  • [6] A hybrid maximum power point tracking for partially shaded photovoltaic systems in the tropics
    Jiang, Lian Lian
    Nayanasiri, D. R.
    Maskell, Douglas L.
    Vilathgamuwa, D. M.
    RENEWABLE ENERGY, 2015, 76 : 53 - 65
  • [7] A Maximum Power Point Tracking Technique for Partially Shaded Photovoltaic Systems in Microgrids
    Alajmi, Bader N.
    Ahmed, Khaled H.
    Finney, Stephen J.
    Williams, Barry W.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (04) : 1596 - 1606
  • [8] Efficient global maximum power point tracking technique for a partially shaded photovoltaic string
    Manickam, Chakkarapani
    Raman, Guru Praanesh
    Raman, Guru Raghav
    Ganesan, Saravana Ilango
    Chilakapati, Nagamani
    IET POWER ELECTRONICS, 2016, 9 (14) : 2637 - 2644
  • [9] A Modified Global Maximum Power Point Tracking Algorithm for a Partially Shaded Photovoltaic System
    Li, Nelson
    Ramirez, Alex
    Sabzehgar, Reza
    2023 IEEE GREEN TECHNOLOGIES CONFERENCE, GREENTECH, 2023, : 25 - 30
  • [10] A New Maximum Power Point Tracking Algorithm For Partial Shaded Photovoltaic Systems
    Radjai, Tawfik
    Gaubert, Jean-Paul
    Rahmani, Lazhar
    2018 7TH INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC), 2018, : 169 - 173