Variable Universe Fuzzy Controlled Incremental Conductance MPPT for Z-source PV Inverter

被引:0
|
作者
Zhang, Jingwei [1 ]
Wang, Honghua [1 ]
Wang, Chengliang [2 ]
Sun, Rong [3 ]
机构
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing 211100, Jiangsu, Peoples R China
[2] Jiangsu Frontier Elect Technol Co Ltd, Nanjing 211100, Jiangsu, Peoples R China
[3] Jiangsu Elect Power Co Res Inst, Nanjing 211100, Jiangsu, Peoples R China
关键词
variable universe fuzzy controller; photovoltaic; incremental conductance; Z-source inverter; POWER-POINT TRACKING;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Maximum power point tracking (MPPT) is always a hot research area for photovoltaic (PV) system. In this paper, based on high efficiency Z-source PV inverter, a variable universe fuzzy controlled incremental conductance (Inc-Cond) is proposed for MPPT. After designed fuzzy sets and rules, parameters of exponential-type and proportional-type stretching functions are investigated in detail. The influence to system performance are also analyzed. Corresponding simulations of Z-source PV system are implemented in MATLAB/Simulink. Simulation results show that the selection of parameter values has significant impact on system response speed and steady precision. Finally, an example is given to verify the feasibility of proposed MPPT algorithm. Compared with conventional fuzzy controlled Inc-Cond, voltage and power of PV array are more stable during MPPT. Inverter output voltage is stable and its THD is approximate 0.86%.
引用
收藏
页码:183 / 187
页数:5
相关论文
共 50 条
  • [1] A Fuzzy Controlled Incremental Conductance Method for Z-Source PV Inverter MPPT
    Zhang, Jingwei
    Wang, Honghua
    Wang, Chengliang
    Han, Wei
    Wang, Zhebei
    Sun, Rong
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND ENVIRONMENTAL ENGINEERING (SEEE 2015), 2015, 14 : 103 - 107
  • [2] MPPT algorithm of particle swarm optimization and fuzzy variable step incremental conductance method based on Z-source inverter
    Mei, Runjie
    Zhang, Jingwei
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 41 (01): : 137 - 145
  • [3] Quasi Z-source Inverter with Improved Incremental Conductance MPPT for Rapidly Varying Solar Irradiation
    Ali, U. Shajith
    Kamaraj, V.
    [J]. 2015 IEEE 11TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND DRIVE SYSTEMS (PEDS 2015), 2015, : 284 - 288
  • [4] Fuzzy Logic Based MPPT for Grid-Connected PV System with Z-Source Inverter
    Teta, Ali
    Rezaoui, Mohamed Mounir
    Kouzou, Abdellah
    Djalab, Aicha
    [J]. RENEWABLE ENERGY FOR SMART AND SUSTAINABLE CITIES: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGETIC SYSTEMS, 2019, 62 : 139 - 147
  • [5] Enhancing PV Systems with Intelligent MPPT and Improved control strategy of Z-Source Inverter
    Bettahar, Fares
    Sabrina, Abdeddaim
    Achour, Betka
    [J]. POWER ELECTRONICS AND DRIVES, 2024, 9 (01) : 1 - 20
  • [6] Study of Fuzzy Logic controller based MPPT and the P&O for the Z-source inverter integrated in PV system
    Ibtissam, Chaib
    El Madjid, Berkouk
    Paul, Gaubert Jaun
    [J]. PROCEEDINGS 2018 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL SCIENCES AND TECHNOLOGIES IN MAGHREB (CISTEM), 2018, : 557 - 562
  • [7] A kind of improved control method for Z-source inverter MPPT
    Li Shengqing
    Bai Jianxiang
    Tang Qi
    Yuan Li
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 6519 - 6523
  • [8] Quasi Z-source NPC Inverter for PV Application
    Effah, Francis B.
    Wheeler, Patrick W.
    Watson, Alan J.
    Clare, Jon C.
    [J]. 2017 IEEE PES POWERAFRICA CONFERENCE, 2017, : 153 - 158
  • [9] Modified incremental conductance algorithm for Z-source inverter based photovoltaic power conditioning systems
    Ali, U. Shajith
    Kamaraj, V.
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2013, 9 (03) : 279 - 289
  • [10] Solar PV fed Proposed Simple Boost Controlled Z-source Inverter for Grid
    Kharat, Diksha Murlidhar
    Morey, M. S.
    [J]. 2020 5TH IEEE INTERNATIONAL CONFERENCE ON RECENT ADVANCES AND INNOVATIONS IN ENGINEERING (IEEE - ICRAIE-2020), 2020,