Optimization of Maximum Power Point Tracking Algorithm using Artificial Intelligence
A.Nandha Kumar1, R. Senthilkumar2, T. Alex Stanley Raja3, K. V. Santhoshkumar4
1A.NandhaKumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
2R.Senthilkumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
3T.Alex Stanley Raja, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
4K.V. Santhosh Kumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 181-184 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2612018319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper highlights the maximum power point tracking algorithm for a photovoltaic array operating under different levels of solar irradiation using Particle Swarm Optimization (PSO). Further the photovoltaic array produces two or more maximum power points for different temperature conditions. Thus it is difficult to find the correct MPP using conventional method. In order to reduce this difficulty the MPP is obtained using Particle Swarm Optimization Technique. The feasibility of the new system is verified using MATLAB/SIMULINK simulation and its performance is analyzed.
Keyword: Photovoltaic Array, MPPT, Particle Swarm Optimization, Boost Converter, Photo Voltalic Inverter.
Scope of the Article: Web Algorithms