Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System

被引：3
|
作者：
Pervez, Imran [1 ]
Sarwar, Adil [1 ]
Tayyab, Mohammad [1 ]
Sarfraz, Mohammad [1 ]
机构：
[1] Aligarh Muslim Univ, Dept Elect Engn, Aligarh, Uttar Pradesh, India
来源：
2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT) | 2019年
关键词：
Solar PV System ( PVS); Maximum Power Point Tracking; Gravitational Search Algorithm (GSA); MPPT;
D O I：
10.1109/i-pact44901.2019.8960130
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Global warming and energy crisis in the world for the last few decades have motivated the researchers to search for sustainable, alternative, and environmental friendly sources of energy. Among many available resources solar energy is one of the most suitable source of energy for bulk production of power by using solar photovoltaic system (PVS). As the overall operating efficiency of solar PVS is low, hence, it becomes very much essential to operate it at maximum power point for extracting maximum power from solar PVS irrespective of the environmental conditions. A metaheuristic based algorithm (Gravitational search) has been used in this paper to track the maximum power point under partial shading condition. A thorough simulation analysis is presented to validate the performance of the algorithm in tracking the optimal power point.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] A maximum power point tracking method for PV system with improved gravitational search algorithm
    Li, Ling-Ling
    Lin, Guo-Qian
    Tseng, Ming-Lang
    Tan, Kimhua
    Lim, Ming K.
    APPLIED SOFT COMPUTING, 2018, 65 : 333 - 348
  • [2] A Hybrid PSO and GSA -Based Maximum Power Point Tracking Algorithm for PV Systems
    Dhas, B. Goldvin Sugirtha
    Deepa, S. N.
    2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (ICCIC), 2013, : 309 - 312
  • [3] Differential power algorithm based maximum power point tracking for a standalone solar PV system
    Sharma, Dinesh K.
    Purohit, Ghanshyam
    JOURNAL OF ENERGY IN SOUTHERN AFRICA, 2015, 26 (02) : 103 - 109
  • [4] Maximum Power Point Tracking of PV system Based Cuckoo Search Algorithm; review and comparison
    Mosaad, Mohamed I.
    el-Raouf, M. Osama Abed
    Al-Ahmar, Mahmoud A.
    Banakher, Fahd A.
    EMERGING AND RENEWABLE ENERGY: GENERATION AND AUTOMATION, 2019, 162 : 117 - 126
  • [5] Solar Power Generation System Based on Signal Search Artificial Bee Colony Optimization Algorithm for Maximum Power Point Tracking
    Mensah, Akwasi Amoh
    Chen, Haoyong
    Otuo-Acheampong, Duku
    Mbuzi, Tumbiko
    2022 12TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS, ICPES, 2022, : 912 - 916
  • [6] A Dual Tangent Based Algorithm for Maximum Power Point Tracking of Solar PV Systems
    Jain, Anubhav
    Jain, Chinmay
    Singh, Bhim
    Kamal-Al-Haddad
    Chandra, Ambrish
    IECON 2015 - 41ST ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2015, : 601 - 606
  • [7] Maximum Power Point Tracking for Solar PV System
    Gupta, Subhash
    Kalika, S.
    Cabigting, Luisito R.
    MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7, 2012, 110-116 : 2034 - 2037
  • [8] Fuzzy Based Maximum Power Point Tracking on a PV System
    Vinifa, R.
    Kavitha, A.
    2013 INTERNATIONAL CONFERENCE ON ENERGY EFFICIENT TECHNOLOGIES FOR SUSTAINABILITY (ICEETS), 2013,
  • [9] Most Valuable Player Algorithm based Maximum Power Point Tracking for a Partially Shaded PV Generation System
    Pervez, Imran
    Shams, Immad
    Mekhilef, Saad
    Sarwar, Adil
    Tariq, Mohd
    Alamri, Basem
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (04) : 1876 - 1890
  • [10] Fuzzy system based maximum power point tracking for PV system
    Wilamowski, BM
    Li, XL
    IECON-2002: PROCEEDINGS OF THE 2002 28TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4, 2002, : 3280 - 3284
12345