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Development of PSO for tracking Maximum Power Point of Photovoltaic Systems

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@article{IJASEIT9431,
   author = {Cong Thanh Pham and Khai Hoan Nhu and Van Huong Dong and Thi Huong Le and Thi Thom Hoang},
   title = {Development of PSO for tracking Maximum Power Point of Photovoltaic Systems},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {9},
   number = {5},
   year = {2019},
   pages = {1732--1738},
   keywords = {boost converter; MPPT; partially shaded conditions; PSO; PV system},
   abstract = {

For a photovoltaic system, the relationship of the output voltage and power is usually non-linear, so it is essential to equip a MPPT controller in PV systems. Furthermore, the hotspot problem is a common phenomenon, resulting from the PV system operating under PSC. Partial shading not only damages the PV cells, but also makes it difficult to find the global MPP in the characteristic curves of P-V. The paper proposes a novel version of PSO, namely PPSO in order to detect the global peak among the multiple peaks, known as the true maximum energy from PV panel. For this, the PPSO algorithm makes the velocity of each particle be perturbed once the particles are struck into a local minima state in order to find the best optimum solution in the MPPT problem. The perturbation in the velocity vector of each particle not only helps them tracking the MPP accurately under the changing environmental conditions, such as large fluctuations of insolation and temperature like PSC; but also removes the steady-state oscillation. The proposed approach has been tested on a MPPT system, which controls a dc-dc boost converter connected in series with a resistive load. Moreover, the obtained results are compared to those obtained without any MPPT controller to prove the efficiency of the suggested method. In addition, this novel version gives the highest accuracy of tracking the optimum power in the least iteration number as compared to the conventional PSO.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9431},    doi = {10.18517/ijaseit.9.5.9431} }

EndNote

%A Pham, Cong Thanh
%A Nhu, Khai Hoan
%A Dong, Van Huong
%A Le, Thi Huong
%A Hoang, Thi Thom
%D 2019
%T Development of PSO for tracking Maximum Power Point of Photovoltaic Systems
%B 2019
%9 boost converter; MPPT; partially shaded conditions; PSO; PV system
%! Development of PSO for tracking Maximum Power Point of Photovoltaic Systems
%K boost converter; MPPT; partially shaded conditions; PSO; PV system
%X 

For a photovoltaic system, the relationship of the output voltage and power is usually non-linear, so it is essential to equip a MPPT controller in PV systems. Furthermore, the hotspot problem is a common phenomenon, resulting from the PV system operating under PSC. Partial shading not only damages the PV cells, but also makes it difficult to find the global MPP in the characteristic curves of P-V. The paper proposes a novel version of PSO, namely PPSO in order to detect the global peak among the multiple peaks, known as the true maximum energy from PV panel. For this, the PPSO algorithm makes the velocity of each particle be perturbed once the particles are struck into a local minima state in order to find the best optimum solution in the MPPT problem. The perturbation in the velocity vector of each particle not only helps them tracking the MPP accurately under the changing environmental conditions, such as large fluctuations of insolation and temperature like PSC; but also removes the steady-state oscillation. The proposed approach has been tested on a MPPT system, which controls a dc-dc boost converter connected in series with a resistive load. Moreover, the obtained results are compared to those obtained without any MPPT controller to prove the efficiency of the suggested method. In addition, this novel version gives the highest accuracy of tracking the optimum power in the least iteration number as compared to the conventional PSO.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9431 %R doi:10.18517/ijaseit.9.5.9431 %J International Journal on Advanced Science, Engineering and Information Technology %V 9 %N 5 %@ 2088-5334

IEEE

Cong Thanh Pham,Khai Hoan Nhu,Van Huong Dong,Thi Huong Le and Thi Thom Hoang,"Development of PSO for tracking Maximum Power Point of Photovoltaic Systems," International Journal on Advanced Science, Engineering and Information Technology, vol. 9, no. 5, pp. 1732-1738, 2019. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.9.5.9431.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Pham, Cong Thanh
AU  - Nhu, Khai Hoan
AU  - Dong, Van Huong
AU  - Le, Thi Huong
AU  - Hoang, Thi Thom
PY  - 2019
TI  - Development of PSO for tracking Maximum Power Point of Photovoltaic Systems
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 9 (2019) No. 5
Y2  - 2019
SP  - 1732
EP  - 1738
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - boost converter; MPPT; partially shaded conditions; PSO; PV system
N2  - 

For a photovoltaic system, the relationship of the output voltage and power is usually non-linear, so it is essential to equip a MPPT controller in PV systems. Furthermore, the hotspot problem is a common phenomenon, resulting from the PV system operating under PSC. Partial shading not only damages the PV cells, but also makes it difficult to find the global MPP in the characteristic curves of P-V. The paper proposes a novel version of PSO, namely PPSO in order to detect the global peak among the multiple peaks, known as the true maximum energy from PV panel. For this, the PPSO algorithm makes the velocity of each particle be perturbed once the particles are struck into a local minima state in order to find the best optimum solution in the MPPT problem. The perturbation in the velocity vector of each particle not only helps them tracking the MPP accurately under the changing environmental conditions, such as large fluctuations of insolation and temperature like PSC; but also removes the steady-state oscillation. The proposed approach has been tested on a MPPT system, which controls a dc-dc boost converter connected in series with a resistive load. Moreover, the obtained results are compared to those obtained without any MPPT controller to prove the efficiency of the suggested method. In addition, this novel version gives the highest accuracy of tracking the optimum power in the least iteration number as compared to the conventional PSO.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9431 DO - 10.18517/ijaseit.9.5.9431

RefWorks

RT Journal Article
ID 9431
A1 Pham, Cong Thanh
A1 Nhu, Khai Hoan
A1 Dong, Van Huong
A1 Le, Thi Huong
A1 Hoang, Thi Thom
T1 Development of PSO for tracking Maximum Power Point of Photovoltaic Systems
JF International Journal on Advanced Science, Engineering and Information Technology
VO 9
IS 5
YR 2019
SP 1732
OP 1738
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 boost converter; MPPT; partially shaded conditions; PSO; PV system
AB 

For a photovoltaic system, the relationship of the output voltage and power is usually non-linear, so it is essential to equip a MPPT controller in PV systems. Furthermore, the hotspot problem is a common phenomenon, resulting from the PV system operating under PSC. Partial shading not only damages the PV cells, but also makes it difficult to find the global MPP in the characteristic curves of P-V. The paper proposes a novel version of PSO, namely PPSO in order to detect the global peak among the multiple peaks, known as the true maximum energy from PV panel. For this, the PPSO algorithm makes the velocity of each particle be perturbed once the particles are struck into a local minima state in order to find the best optimum solution in the MPPT problem. The perturbation in the velocity vector of each particle not only helps them tracking the MPP accurately under the changing environmental conditions, such as large fluctuations of insolation and temperature like PSC; but also removes the steady-state oscillation. The proposed approach has been tested on a MPPT system, which controls a dc-dc boost converter connected in series with a resistive load. Moreover, the obtained results are compared to those obtained without any MPPT controller to prove the efficiency of the suggested method. In addition, this novel version gives the highest accuracy of tracking the optimum power in the least iteration number as compared to the conventional PSO.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=9431 DO - 10.18517/ijaseit.9.5.9431