Particle Swarm Optimization Technique for Photovoltaic System
Md. Fahim Ansari1, Padmanabh Thakur2, Parvesh Saini3
1Md. Fahim Ansari, Department of Electrical Engineering, Graphic Era Deemed to be University, Dehradun (India).
2Padmanabh Thakur, Department of Electrical Engineering, Graphic Era Deemed to be University, Dehradun (India).
3Parvesh Saini, Department of Electrical Engineering, Graphic Era Deemed to be University, Dehradun (India).
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1448-1451 | Volume-8 Issue-5, January 2020. | Retrieval Number: E5774018520/2020©BEIESP | DOI: 10.35940/ijrte.E5774.018520
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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: Day by day the dependency on renewable energy uses has been increasing because of no greenhouse emission and abundant in nature available freely, this paper, presents a comparative analysis of an optimization technique called Particle Swarm Optimization (PSO) along with Perturb & Observe (P&O) for the extraction of maximum power from the PV panel. The performances of P&O and PSO techniques were compared for different insolations and temperatures. A detailed and rigorous mathematical model along with simulation results and its performance for maximum power extraction from the panel were analyzed by using P&O and PSO. It has been observed that the maximum power obtained from PSO model is more than the maximum power obtained from P&O for different insolations and temperatures. Thus PSO is much better and more suitable for extracting maximum power from PV system.
Keywords: Particle Swarm Optimization, Maximum Power Point Tracker, Buck Boost Converter, Perturb & Observe.
Scope of the Article: Waveform Optimization for Wireless Power Transfer.