MPPT for Standalone PV System under Partially Shaded Condition using Genetic Algorithm
K. Murali Krishna1, S. Ashok Reddy2, K. Siva Shankar3
1Mr. K. Murali Krishna, M.Tech. Student, Department of Power Electronics and Electrical Drives, Pragati Engineering College, Surampalem (A.P). India.
2Mr. S. Ashok Reddy, Asst. Professor, Department of Electronics and Electrical Engineering, Pragati Engineering College, Surampalem (A.P). India.
3Mr. K. Siva Shankar, M.Tech- Student, Department of Power Electronics and Electrical Drives, Pragati Engineering College, Surampalem (A.P). India.
Manuscript received on 10 October 2016 | Revised Manuscript received on 18 October 2016 | Manuscript Published on 30 October 2016 | PP: 35-42 | Volume-6 Issue-1, October 2016 | Retrieval Number: A4738106116/16©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Sun oriented vitality is spotless, renewable and its decentralized character is suitable well at the scattered State of the zones with low thickness of populace. The expense of Electricity from the sun oriented cluster framework is more costly than the power from the utility network. In this way, it is important to work the PV framework at most extreme proficiency by following greatest force point at any natural condition. In this work, the Genetic algorithm is utilized to control the operation of the PV exhibit keeping in mind the end goal to separate the most extreme force. The outcomes acquired are looked at and talked about.
Keywords: PV System, Maximum Power Point Tracking (MPPT), Genetic Algorithm, P&O Algorithm.
Scope of the Article: Algorithm Engineering