Intelligent Algorithm Based Maximum Power Point Tracking of Photovoltaic Solar Pump
B.Hari Sankar Reddy1, K..Nagabhushanam2, R.Kiranmayi3
1Buddapu Hari Sankar Reddy, Department of Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, India.
2K. Nagabhushanam, Assistant professor(adhoc) in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India.
3Dr R. Kiranmayi,. Assistant professor & HOD in Electrical Department, JNTUA College of Engineering, Ananthapuramu, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5114-5122 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8319118419/2019©BEIESP | DOI: 10.35940/ijrte.D8319.118419
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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: Solar Photovoltaic (PV) system is pollution free energy source. PV panel have maximum power at unique point that point depends on temperature and irradiance of environment. Therefore it is necessary to track maximum power point for maximum efficiency. PV water pump system based on ANFIS controller produces poor performance under different irradiation and temperature condition. To improve performance of PV water pumping system PSOMPPT controller was implemented .compare the transient behavior of PV water pump by PSOMPPT with ANFIS based MPPT.
Keywords: Particle Swarm Optimization Maximum Power Point Tracking (PSOMPPT); ANFIS; Boost converter; PMDC pump; PV System.
Scope of the Article: Cross Layer Design and Optimization.