Project Field : Power Engineering
Project Title : Modelling and Control of Fuzzy Logic Based Maximum Power Point Tracking for Solar Photovoltaic Module
Project : MEng in Electrical and Electronics Engineering
Project Duration : January 2009 –
Project Supervisors : Kenneth Teo, Neelakantan Prabhakaran
Description of Project :
The main objective of this research is to improve the efficiency of the photovoltaic (PV) module by tracking and regulating the module to operate at the maximum power operating voltage under various environmental conditions. The solar module efficiency is affected by both the mechanical tilt angle and the environmental effects such as solar irradiance, temperature and shaded conditions. Due to the dynamic and rapid changes of the environmental effects, the PV module is usually not operated at the maximum power point (MPP). Thus, perturb and observe (P&O) type of maximum power point tracking (MPPT) algorithm is introduced to track the PV optimal voltage. However, the conventional MPPT using small perturbation voltage size enlarge the computation cost for the optimal voltage tracking. On the other hand, increasing the perturbation voltage size may lead to the power fluctuation problem and difficulties of locating the exact maximum point. In this research, fuzzy logic control with variable perturbation voltage size is embedded in P&O MPPT for faster PV optimal voltage tracking as well as maintaining the power stability. In addition, extensive study shows that partially shaded PV array with MPPT may cause the PV array trapped at the local MPP. Therefore, initial voltage tracking function is implemented to instruct the MPPT to track beyond the trapped MPP and search for the absolute maximum power operating voltage. Modelling of PV module, PV array and Computation of Fuzzy MPPT algorithm are developed in MATLAB m-file and linked to MATLAB SIMULINK via S-function. Evaluations and assessments have been carried out through simulation and results shown that fuzzy logic based P&O MPPT having better performance for tracking the optimal voltage faster and minimizing the power fluctuation responding to the various environmental effects.
Contact Person : Chin Chia Seet
Contact Email : cschin84@yahoo.com
Publications:
International Journal
2011
[J1101] C.S. Chin, P. Neelakantan, H.P. Yoong, K.T.K. Teo. Optimisation of Fuzzy Based Maximum Power Point Tracking in PV System for Rapidly Changing Solar Irradiance. Global Journal of Technology and Optimisation, GJTO, Transaction on Solar Energy and Planning. ISSN: 2229-8711. June 2011. vol. 2, no. 2, pp. 130-137. [URL] [published]
[J1102] C.S. Chin, P. Neelakantan, S.S. Yang, B.L. Chua, K.T.K. Teo. Effect of Partially Shaded Conditions on Photovoltaic Array’s Maximum Power Point Tracking. International Journal of Simulation, Systems, Science and Technology, IJSSST. ISSN: 1473-804x. June 2011. vol. 12, no. 3. [URL] [published]
International Proceeding
2011
[P1101] C.S. Chin, P. Neelakantan, H.P. Yoong, K.T.K. Teo. Fuzzy Logic Based MPPT for Photovoltaic Modules Influenced by Solar Irradiation and Cell Temperature. 30 March – 1 April 2011, 13th International Conference on Computer Modelling and Simulation [Cambridge, United Kingdom]. Proceeding of UKSim 2011, ISBN: 978-1-61284-705-4. pp. 376-381. [URL] [published]
[P1102] C.S. Chin, P. Neelakantan, H.P. Yoong, S.S. Yang, K.T.K. Teo. Maximum Power Point Tracking for PV Array Under Partially Shaded Conditions. 26-28 July 2011, 3rd International Conference on Computational Intelligence, Communication Systems and Networks [Bali, Indonesia]. Proceeding of CICSyN 2011 (IEEE), ISBN: 978-1-4577-0975-3. pp. 72-77. [URL] [published]
[P1103] C.S. Chin, M.K. Tan, A.C.L. Tan, B.L. Chua, K.T.K. Teo. Maximum Power Point Tracking Algorithm for Variable Speed Wind Turbine System. 8-9 November 2011, 3rd International Conference on Science and Engineering [Miri, Malaysia]. Proceeding of CUTSE 2011, ISBN: 978-983-44176-0-4. [URL] [published]
[P1104] C.S. Chin, M.K. Tan, P. Neelakantan, B.L. Chua, K.T.K. Teo. Optimization of Partially Shaded PV Array using Fuzzy MPPT. 5-6 December 2011, International Colloquium on Humanities, Science and Engineering Research [Penang, Malaysia]. Proceeding of CHUSER 2011 (IEEE). [URL] [accepted]
2010
[P1001] C.S. Chin, P. Neelakantan, H.P. Yoong, K.T.K. Teo. Control and Optimization of Fuzzy Based Maximum Power Point tracking in Solar Photovoltaic System. 2-4 December 2010, 4th Global Conference on Power Control and Optimization [Kuching, Malaysia]. Proceeding of PCO 2010, ISBN: 978-983-44483-32. pp. -. [URL] [published]
Local Proceeding
2009
C.S. Chin, K.T.K. Teo, P. Neelakantan. Rotor Speed Control of Micro-hydro Synchronous Generator using Fuzzy PID Controller. 8-9 July 2009, 2nd Seminar on Engineering and Information Technology [Kota Kinabalu, Malaysia]. Proceeding of SEIT 2009, ISBN: 978-967-5224-20-1. pp. 253-258. [URL] [published]
Project Field : Power Engineering
Modelling, Simulation & Computing Laboratory (mscLab) 