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Efficiency Improvement of Photovolataic by Using Maximum Power Point Tracking Based on Particle Swarm Optimization Algorithm Under Normal and Partial Shading

DOI: https://doi.org/10.21070/jeee-u.v2i2.1703

Author (s)


(1) * Machmud Effendy   (University of Muhammadiyah Malang)  
        Indonesia
(2)  Khusnul Hidayat   (University of Muhammadiyah Malang)  
        Indonesia
(3)  Wahyu Dianto Pramana   (University of Muhammadiyah Malang)  
        Indonesia
(*) Corresponding Author

Abstract


Photovoltaic (PV) is a device which is capable to converts solar irradiance into Direct Current (DC) electricity energy. To increase the power result of PV, it needs a method to track the Maximum Power Point(MPP) which is usually called Maximum power Point Tracking(MPPT). So that, the power result increased with low cost. The purpose of this research is to conduct MPPT modeling by Particle Swarm Optimization (PSO). The proposed method is implemented in DC to DC converter. This research used SEPIC converter. The purpose of using SEPIC converter is in order the output of current and voltage have smallest ripple. The modelling system is conducted by using MATLAB 2016b software to find out performance of PSO and SEPIC converter. The evaluation of PSO and SEPIC converter performance has been done. The simulation result shows that the proposed system has been working very well. The PSO has good accurateness in tracking and capable to to track the power produced by PV with velocity around ±4,2 seconds when in conditions STC, ±9,2 seconds when in conditions partial shading, despite a fluctuating irradiance change. While in SEPIC converter is able to reach efficiency of ≥ 80%.

 

Keywords

Photovolaic (PV); Maximmum Power Point (MPP); MPPT; Particle Swarm Optimization (PSO); STC; Partial Shading; SEPIC Converter.



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References


[1] S. Rajendran and H. Srinivasan, “Simplified accelerated particle swarm optimisation algorithm for efficient maximum power point tracking in partially shaded photovoltaic systems,” IET Renew. Power Gener., vol. 10, no. 9, pp. 1340–1347, 2016.

[2] R. B. SATRIOADI, “Jurusan teknik elektro fakultas teknik universitas muhammadiyah surakarta 2014,” no. 201210130311117, pp. 0–5, 2014.

[3] M. Sucipta, F. Ahmad, and K. Astawa, “Analisis Performa Modul Solar Cell Dengan Penambahan Reflector Cermin Datar,” no. Snttm Xiv, pp. 7–8, 2015.

[4] P. Efisiensi, “Meningkatkan Efisiensi Konverter Dc-Dc Penaik Tegangan Dengan Teknik Zero Voltage Switching ( Zvs ),” vol. 7, no. 2, pp. 3–13, 2014.

[5] B. Prima and Aulia Siti, “Rancang Bangun Maximum Power Point Tracking pada Panel Photovoltaic Berbasis Logika Fuzzy di Buoy Weather Station,” J. Tek. Pomits, vol. 2, no. 2, pp. 299–304, 2013.

[6] S. Khader and A. Abu-Aisheh, “The application of PSIM & Matlab/Simulink in teaching of power electronics courses,” Int. J. Online Eng., vol. 7, no. 3, pp. 15–18, 2011.

[7] K. Ishaque, Z. Salam, M. Amjad, and S. Mekhilef, “An improved particle swarm optimization (PSO)-based MPPT for PV with reduced steady-state oscillation,” IEEE Trans. Power Electron., vol. 27, no. 8, pp. 3627–3638, 2012.

[8] K. L. Lian, J. H. Jhang, and I. S. Tian, “A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization,” vol. 4, no. 2, pp. 626–633, 2014.

[9] Y. H. Liu, S. C. Huang, J. W. Huang, and W. C. Liang, “A particle swarm optimization-based maximum power point tracking algorithm for PV systems operating under partially shaded conditions,” IEEE Trans. Energy Convers., vol. 27, no. 4, pp. 1027–1035, 2012.

[10] R. Vairamani, K.R; Vijayalakshmi , S; Sorna Vadivoo, “High frequency applications,” Des. ZVS Reson. SEPIC Convert. High Freq. Appl., vol. vol.13, no. International Conference on Circuit, pp. 873–880, 2014.

[11] M. Cabaj, “DC House Model Design and Construction A Senior Project The Faculty of the ELECTRICAL ENGINEERING DEPARTMENT California Polytechnic State University , San Luis Obispo By,” 2012.

[12] S. Eilaghi, A. Ahmadian, and M. Aliakbar Golkar, “Optimal Voltage Unbalance Compensation in a Microgrid Using PSO Algortim,” Optim. Volt. Unbalance Compens. a microgrid Using PSO Algorithm, vol. 52, no. 2, pp. 1395–1396, 2016.


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10.21070/jeee-u.v2i2.1703


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Copyright (c) 2018 Machmud Effendy, Khusnul Hidayat, Wahyu Dianto Pramana

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