Recent Nature Inspired Techniques for Solar Power Point Tracking Application
Shaik Rafi Kiran1, G. Hanumantha Reddy2
1Dr.Shaik Rafi Kiran, Department of EEE, S V Engineering College, Tirupati , India.
2G Hanumantha Reddy, Department of EEE, S V Engineering College, Tirupati, India
Manuscript received on October 11, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 3678-3684 | Volume-9 Issue-1, November 2019. | Retrieval Number: A4768119119/2019©BEIESP | DOI: 10.35940/ijitee.A4768.119119
Open Access | Ethics and 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: Photovoltaic (PV) array generates non-linear I-V and P-V characteristics. As a result, it is difficult to transfer the maximum power from source to load. The Maximum Power Point Tracking (MPPT) is used to track the Maximum Power Point (MPP) and extract the maximum power of solar PV. The disadvantages of conventional MPPT techniques are less MPP tracking speed, high MPP settling time and less accuracy. In order to overcome the disadvantages of conventional techniques, in this article different types of recent nature inspired optimization techniques are reviewed to track the MPP. In addition, the application of optimization technique based Maximum Power Point Tracking (MPPT) technique for standalone and grid connected application is explained in detail. The advantages of optimization techniques are highly reliable, better accuracy, less time to convergence and fast response.
Keywords: DC-DC Conveter, Optimization Methods, MPPT, Optimum Duty cycle, and PV system.
Scope of the Article: Renewable Energy Technology