Optimization of a fuzzy logic controller for PV grid inverter control using S-function based PSO

Solar Energy

Volumn 86, Issue 6, 2012, Pages 1689-1700

  Letting, L K ^a   Munda, J L ^a   Hamam, Y ^a,b  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

^b UNIVERSITÉ PARIS EST   (France)

Author keywords

Fuzzy logic controller; Inverter; MPPT; Particle swarm optimization; PV array; S function

Indexed keywords

FUZZY LOGIC CONTROLLERS; INVERTER; MPPT; PV ARRAYS; S-FUNCTION;

ALGORITHMS; FUZZY LOGIC; PHOTOVOLTAIC CELLS;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; CONTROL SYSTEM; FUZZY MATHEMATICS; NUMERICAL MODEL; OPTIMIZATION; PERFORMANCE ASSESSMENT; PHOTOVOLTAIC SYSTEM; TRACKING;

EID: 84860596060     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2012.03.018     Document Type: Article

References (14)

1. Lalili D., Mellit A., Lourci N., Medjahed B., Berkouk E. Input output feedback linearization control and variable step size MPPT algorithm of a grid-connected photovoltaic inverter. Renewable Energy 2011, 36:3282-3291.
2. Ravi A., Manoharan P., Anand J.V. Modeling and simulation of three phase multilevel inverter for grid connected photovoltaic systems. Solar Energy 2011, 85:2811-2818.
3. Tsengenes G., Adamidis G. A multi-function grid connected PV system with three level NPC inverter and voltage oriented control. Solar Energy 2011, 85:2595-2610.
4. Skretas S.B., Papadopoulos D.P. Efficient design and simulation of an expandable hybrid (wind-photovoltaic) power system with MPPT and inverter input voltage regulation features in compliance with electric grid requirements. Electric Power Systems Research 2009, 79:1271-1285.
5. Mohamed Y.-R., El Saadany E. Hybrid variable-structure control with evolutionary optimum-tuning algorithm for fast grid-voltage regulation using inverter-based distributed generation. Power Electronics, IEEE Transactions on 2008, 23(3):1334-1341. 10.1109/TPEL.2008.921106.
6. Diaz, N., Hernandez, J., Duarte, O., 2010. Fuzzy maximum power point tracking techniques applied to a grid-connected photovoltaic system. In: Grigorie, L. (Ed.), Fuzzy Controllers, Theory and Applications, InTech, pp. 179-194 (Chapter 9).
7. Zhang G., Xu Z. Steady-state model for VSC based HVDC and its controller design. Power Engineering Society Winter Meeting 2001, vol. 3:1085-1090. IEEE.
8. Buso S., Mattavelli P. Digital control in power electronics. Lectures on Power Electronics 2006, Morgan & Claypool Publishers, USA.
9. Rathnakumar D., LakshmanaPerumal J., Srinivasan T. A new software implementation of space vector PWM. SoutheastCon, 2005, Proceedings 2005, 131-136. IEEE. 10.1109/SECON.2005.1423232.
10. Acciani G., Vacca F., Vergura S. Time domain analysis of switching circuits by using the SIMULINK-based co-simulation. EUROCON 2009, EUROCON '09 2009, 256-263. IEEE. 10.1109/EURCON.2009.516764.
11. Khader S., Hadad A., Abu-Aisheh A. The application of PSIM and MATLAB/Simulink in power electronics courses. Global Engineering Education Conference (EDUCON), 2011 2011, 118-121. IEEE. 10.1109/EDUCON.2011.577312.
12. Yongchang, Z., Zhengming, Z., Baihua, Liqiang, Y., Haitao, Z., 2006. PSIM and SIMULINK co-simulation for three-level adjustable speed drive systems. In: Power Electronics and Motion Control Conference, 2006. IPEMC 2006. CES/IEEE 5th International, vol. 1, pp. 1-5. doi:10.1109/IPEMC.2006.4777968.
13. Mathworks, September 2007. Simulink ® 7, Writing S-functions, R2007b. http://www.mathworks.com.
14. Kennedy, J., Eberhart, R., 1995. Particle swarm optimization. In: Neural Networks, 1995. Proceedings., IEEE International Conference on, vol. 4, pp. 1942-1948, doi:10.1109/ICNN.1995.488968.