Perturbation methods;
Resistance;
Oscillators;
Voltage control;
Steady-state;
Program processors;
Power measurement;
Current perturbation;
voltage perturbation;
boost converter;
MPPT;
perturb and observe;
PV SYSTEMS;
PHOTOVOLTAIC SYSTEM;
SOLAR IRRADIATION;
STEP-SIZE;
ALGORITHM;
TRACKING;
IMPLEMENTATION;
PERTURB;
OBSERVE;
D O I:
10.1109/TEC.2021.3058454
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This paper formulates a maximum power point tracking (MPPT) technique that accurately tracks the maximum power point of photovoltaic (PV), which undergoes simultaneous or independent sudden changes in load resistance and irradiance. The proposed algorithm is fundamentally divided into three parts; current and voltage perturbation algorithm (IPA/VPA), perturbation step-size reduction algorithm (PSSRA) and a deviation avoidance loop. The use of dual perturbation parameters using IPA and VPA ensures high tracking speed. PSSRA iteratively reduces the perturbation step-size of IPA and VPA and helps in reducing the power oscillations around MPP. Finally, a deviation avoidance loop is developed to detect a change in irradiance by examining the sign of the slope of the two power curves, namely P-V and P-I. The algorithm compares the per unit change in voltage and current of PV, to determine a simultaneous change in both irradiance and load resistance. The proposed algorithm is compared with two recently developed MPPT algorithms. The results show that the proposed technique can track the MPP with high speed and low steady-state oscillations and does not deviate from the MPP tracking path regardless of fast changes in irradiance and load resistance.
机构:
Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Li, Hong
Yang, Duo
论文数: 0引用数: 0
h-index: 0
机构:
Railway Sci Corp Ltd, China Acad, Beijing 100081, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Yang, Duo
Su, Wenzhe
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Su, Wenzhe
Lu, Jinhu
论文数: 0引用数: 0
h-index: 0
机构:
Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China
Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Machine, Beijing 100083, Peoples R China
Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Lu, Jinhu
Yu, Xinghuo
论文数: 0引用数: 0
h-index: 0
机构:
RMIT Univ, Melbourne, Vic 3000, AustraliaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
机构:
Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Li, Hong
Yang, Duo
论文数: 0引用数: 0
h-index: 0
机构:
Railway Sci Corp Ltd, China Acad, Beijing 100081, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Yang, Duo
Su, Wenzhe
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Su, Wenzhe
Lu, Jinhu
论文数: 0引用数: 0
h-index: 0
机构:
Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China
Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Machine, Beijing 100083, Peoples R China
Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China
Lu, Jinhu
Yu, Xinghuo
论文数: 0引用数: 0
h-index: 0
机构:
RMIT Univ, Melbourne, Vic 3000, AustraliaBeijing Jiaotong Univ, Sch Elect Engn, Beijing 100044, Peoples R China