A Dual-Adaptive Perspective on PV Array Reconfiguration with Genetic Algorithms Under Partial Shading Conditions

被引:0
|
作者
Karaduman, Ozgur [1 ]
Parlak, Koray Sener [2 ]
机构
[1] Firat Univ, Fac Engn, Dept Software Engn, TR-23119 Elazig, Turkiye
[2] Firat Univ, Vocat Sch Tech Sci, Dept Elect Technol, TR-23119 Elazig, Turkiye
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 04期
关键词
photovoltaic panel; PV array reconfiguration; partial shaded conditions; maximum power point; genetic algorithms; optimization; PHOTOVOLTAIC ARRAY; MAXIMUM POWER; MISMATCH LOSSES; OPTIMIZATION; ENHANCEMENT; SCHEME;
D O I
10.3390/app15041762
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Photovoltaic systems are among the most popular renewable energy sources due to their ease of installation and low operating costs. However, they are characterized by low efficiency, non-linear electrical properties, and sensitivity to radiant intensity on the panels. To address these limitations, researchers have focused on improving the efficiency of these systems. The most effective method for enhancing the maximum power point of a PV array is reconfiguration, which involves rearranging the connection structures of the panels. This study presents a method for determining the reconfiguration of panels based on their radiant intensity using a genetic algorithm (GA). The method matches the rows of the PV array to achieve similar radiant intensities, thereby increasing power efficiency. An algorithm was developed to enable the adaptive panels to connect to any row of the fixed section in a PV array divided into dual-adaptive and fixed sections, controlling this connection structure. This GA-based algorithm utilizes short-circuit currents obtained from specific points of the PV array to identify the most suitable connection structure within the solution space and generates control signals for reconfiguration. Simulation results with various array structures and shading scenarios demonstrate that the proposed method increases array efficiency and achieves results within a practically applicable cycle time.
引用
收藏
页数:30
相关论文
共 50 条
  • [21] An improved GMPPT technique under partial shading conditions for PV array
    Nagvekar, Purva
    Metri, R. A.
    2019 8TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY, INFORMATION AND COMMUNICATION (ICCPEIC'19), 2019, : 40 - 46
  • [22] Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions
    Babu, Thanikanti Sudhakar
    Ram, J. Prasanth
    Dragicevic, Tomislav
    Miyatake, Masafumi
    Blaabjerg, Frede
    Rajasekar, Natarajan
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (01) : 74 - 85
  • [23] Reconfiguration of PV array for improved performance under different partial shading conditions using Roulette Barrel Shifter approach
    Kushwaha, Shivam
    Singh, Ranjeet
    Yadav, Ranjana
    Yadav, Vinod Kumar
    Yadav, Tanmay
    Singh, Shivam
    ENERGY CONVERSION AND MANAGEMENT, 2024, 322
  • [24] Power Enhancement of Solar PV Arrays Under Partial Shading Conditions with Reconfiguration Methods
    Raju, V. Bala
    Chengaiah, Ch
    2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [25] Adaptive GA-based reconfiguration of photovoltaic array combating partial shading conditions
    Abdelghani Harrag
    Sabir Messalti
    Neural Computing and Applications, 2018, 30 : 1145 - 1170
  • [26] Adaptive GA-based reconfiguration of photovoltaic array combating partial shading conditions
    Harrag, Abdelghani
    Messalti, Sabir
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (04): : 1145 - 1170
  • [27] A Current Supported PV Array Reconfiguration Technique to Mitigate Partial Shading
    Karmakar, Binoy Kumar
    Karmakar, Gopinath
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2021, 12 (02) : 1449 - 1460
  • [28] A novel hybrid architecture for MPPT of PV array under partial shading conditions
    Bisht, Rahul
    Sikander, Afzal
    SOFT COMPUTING, 2024, 28 (02) : 1351 - 1365
  • [29] Mismatch Loss Analysis of PV Array Configurations Under Partial Shading Conditions
    Veerasamy, Balaji
    Takeshita, Takaharu
    Jote, Aberra
    Mekonnen, Tefera
    2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2018, : 1162 - 1167
  • [30] A novel hybrid architecture for MPPT of PV array under partial shading conditions
    Rahul Bisht
    Afzal Sikander
    Soft Computing, 2024, 28 : 1351 - 1365