Sensorless MPPT Considering Power Loss Factors for DPP Structure in Photovoltaic Generation System

被引:0
|
作者
Lee, Hyunjae [1 ]
Shon, Jingeun [1 ]
机构
[1] Gachon Univ, Dept Elect Engn, Seongnam Si 13120, South Korea
来源
IEEE ACCESS | 2024年 / 12卷
关键词
Maximum power point trackers; Buck converters; Voltage control; Meteorology; PI control; Resistance; Production; Photovoltaic systems; Differential power processing (DPP); effective duty ratio; flyback; maximum power point tracking (MPPT); photovoltaic; ALGORITHM;
D O I
10.1109/ACCESS.2024.3406877
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents an effective maximum power point tracking (MPPT) method for photovoltaic (PV) panels without any voltage sensor in a PV differential power processing (DPP) system. If a fault occurs in the voltage sensor, errors will occur in all control methods, including MPPT, thereby reducing power production efficiency. Therefore, this paper presents an effective duty MPPT method that enables normal MPPT, even without the voltage sensor of the DPP converter used in the PV power generation DPP systems. The proposed method performs MPPT by analyzing the power-loss elements of the DPP converter to recalculate the effective duty cycle used for actual power transmission and reduce the voltage calculation error. The effectiveness of the proposed method is verified in simulations and experiments, and the average accuracy compared with the general P&O MPPT is found to be 98.65[%] on average even without the use of a voltage sensor.
引用
收藏
页码:123114 / 123126
页数:13
相关论文
共 50 条
  • [41] A Study on the Power Generation Prediction Model Considering Environmental Characteristics of Floating Photovoltaic System
    Jeong, Han Sang
    Choi, Jaeho
    Lee, Ho Hyun
    Jo, Hyun Sik
    APPLIED SCIENCES-BASEL, 2020, 10 (13):
  • [42] Optimal scheduling of thermal-photovoltaic power generation system considering carbon emission
    Shao, Wencai
    Yan, Xing
    Li, Peng
    Zhang, Tao
    Xia, Qingfeng
    ENERGY REPORTS, 2023, 9 : 1346 - 1356
  • [43] Stochastic evaluation of voltage sag in power system network considering effect of photovoltaic generation
    Khatri, Navita
    Kumar, Vinod
    Bansal, Ramesh C.
    Joshi, Raghuveer Raj
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2019, 29 (04)
  • [44] MPPT Simulation of Cluster Photovoltaic Power Stations for New Power System Planning
    Qin, Hui
    Pan, Zhen
    Su, Jinyue
    Chen, Lidan
    2024 THE 7TH INTERNATIONAL CONFERENCE ON ENERGY, ELECTRICAL AND POWER ENGINEERING, CEEPE 2024, 2024, : 1383 - 1387
  • [45] Improved Approximate Gradient Method in MPPT Control of Photovoltaic Generation System
    Zhou, Chen
    Xi Ziqiang
    Bin, Lu
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 2276 - 2280
  • [46] Modeling of grid connecting photovoltaic generation system with improved MPPT algorithm
    Qiu Gefei
    Gao Xia
    2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA), 2013, : 447 - 450
  • [47] Research on the MPPT of Photovoltaic Power Generation Based on the CSA-INC Algorithm
    Hou T.
    Wang S.
    Energy Engineering: Journal of the Association of Energy Engineering, 2023, 120 (01): : 87 - 106
  • [48] IMPROVING THE EFFICIENCY OF SOLAR PHOTOVOLTAIC POWER GENERATION USING IMPROVED MPPT METHOD
    Kareem, Mohammed Fouad
    Kurnaz, Sefer
    2ND INTERNATIONAL CONGRESS ON HUMAN-COMPUTER INTERACTION, OPTIMIZATION AND ROBOTIC APPLICATIONS (HORA 2020), 2020, : 668 - 671
  • [49] A Practical Step-variation MPPT Scheme for Photovoltaic Power Generation Systems
    Wang, Yaoqiang
    Zhang, Meiling
    Qin, Ming
    Ma, Xiaoyong
    2016 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2016,
  • [50] Application of the MPPT Control Algorithm Based on Hybrid Quantum Particle Swarm Optimization in a Photovoltaic Power Generation System
    Xu, Xiaowei
    Zhou, Wei
    Xu, Wenhua
    Nie, Yongjie
    Chen, Shan
    Ou, Yangjian
    Zhou, Kaihong
    Liu, Mingxian
    PROCESSES, 2023, 11 (05)