PSO-GSA Based MPPT Algorithm for Photovoltaic Systems
Gazia Manzoor1, Kamal Kant Sharma2, Er. Satyanand Vishwakarma3
1Gazia Manzoor, Department of Electrical Engineering, Chandigarh University, (Punjab), India.
2Dr. Kamal Kant Sharma, Department of Electrical Engineering, Chandigarh University, (Punjab), India.
3Er. Satyanand Vishwakarma, Department of Electrical Engineering, Chandigarh University, (Punjab), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript Published on 17 May 2019 | PP: 259-263 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10490476S419/2019©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 describes the maximum power point tracking[MPPT] technique for a single diode model based solar cell array module using the hybrid combination of perturb-observe and PSO-GSA optimization algorithm under varying environmental conditions. The proposed method sorted out the initial starting point problem in which perturb-observe takes some time in achieving Maximum power point and also shows fluctuated power when there is partial shading in the solar array. A hybrid of PSOGSA optimization algorithm is used which provides effective options of duty cycle for the MOSFET switch used in the buck booster circuit using the current and previous power changes along with voltage changes in the system. The proposed control method utilizes less number of iterations to optimize the maximum power point power value as compared to traditional particle swarm optimization (PSO) technique. The whole system is simulated using MATLAB/SIMULINK platform and has been compared with the conventional Particle Swarm Optimization algorithm under ambient conditions.
Keywords: Particle Swarm Optimization, Perturb & Observe, MPPT, PSO-GSA etc.
Scope of the Article: Algorithm Engineering