Novel TPPO Based Maximum Power Point Method for Photovoltaic System

被引:9
作者
Abbasi, Muhammad Awais [1 ]
Zia, Muhammad Fahad [1 ]
机构
[1] Univ Management & Technol, Sch Syst & Technol, Lahore 54000, Pakistan
关键词
DC-DC power converters; maximum power point trackers; photovoltaic cells; solar energy; solar power generation; MPPT METHOD; NEURAL-NETWORK; PV SYSTEMS; TRACKING; CONVERTER; VOLTAGE;
D O I
10.4316/AECE.2017.03012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photovoltaic (PV) system has a great potential and it is installed more when compared with other renewable energy sources nowadays. However, the PV system cannot perform optimally due to its solid reliance on climate conditions. Due to this dependency, PV system does not operate at its maximum power point (MPP). Many MPP tracking methods have been proposed for this purpose. One of these is the Perturb and Observe Method (P&O) which is the most famous due to its simplicity, less cost and fast track. But it deviates from MPP in continuously changing weather conditions, especially in rapidly changing irradiance conditions. A new Maximum Power Point Tracking (MPPT) method, Tetra Point Perturb and Observe (TPPO), has been proposed to improve PV system performance in changing irradiance conditions and the effects on characteristic curves of PV array module due to varying irradiance are delineated. The Proposed MPPT method has shown better results in increasing the efficiency of a PV system.
引用
收藏
页码:95 / 100
页数:6
相关论文
共 24 条
[1]   High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids [J].
Abdelsalam, Ahmed K. ;
Massoud, Ahmed M. ;
Ahmed, Shehab ;
Enjeti, Prasad N. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2011, 26 (04) :1010-1021
[2]   Maximum power point tracking using fuzzy logic control [J].
Algazar, Mohamed M. ;
AL-monier, Hamdy ;
Abd EL-Halim, Hamdy ;
Salem, Mohamed Ezzat El Kotb .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 39 (01) :21-28
[3]  
[Anonymous], 2011, HDB PHOTOVOLTAIC SCI
[4]   A reliable, fast and low cost maximum power point tracker for photovoltaic applications [J].
Enrique, J. M. ;
Andujar, J. M. ;
Bohorquez, M. A. .
SOLAR ENERGY, 2010, 84 (01) :79-89
[5]   Integrated photovoltaic maximum power point tracking converter [J].
Enslin, JHR ;
Wolf, MS ;
Snyman, DB ;
Swiegers, W .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1997, 44 (06) :769-773
[6]   Neural network based estimation of maximum power generation from PV module using environmental information [J].
Hiyama, T ;
Kitabayashi, K .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1997, 12 (03) :241-246
[7]   IDENTIFICATION OF OPTIMAL OPERATING POINT OF PV MODULES USING NEURAL-NETWORK FOR REAL-TIME MAXIMUM POWER TRACKING CONTROL [J].
HIYANA, T ;
KOUZUMA, S ;
IMAKUBO, T .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 1995, 10 (02) :360-367
[8]   MAXIMUM PHOTOVOLTAIC POWER TRACKING - AN ALGORITHM FOR RAPIDLY CHANGING ATMOSPHERIC CONDITIONS [J].
HUSSEIN, KH ;
MUTA, I ;
HOSHINO, T ;
OSAKADA, M .
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1995, 142 (01) :59-64
[9]  
Ibrahim H. E.-S. A., 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), P406, DOI 10.1109/FUZZY.1999.793274
[10]  
Jiang JA, 2005, J APPL SCI ENG, V8, P147