Predictive-P&O Mppt Algorithm for Fast and Reliable Tracking of Maximum Power Point in Solar Energy Systems
Obaidullah Lodin1, Inderpreet Kaur2, Harpreet Kaur3
1Obaidullah Lodin, Department of Electrical Engineering, Chandigarh University, (Punjab), India.
2Dr. Inderpreet Kaur, Department of Electrical Engineering, Chandigarh University, (Punjab), India.
3Harpreet Kaur, 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: 264-268 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10500476S419/2019©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: Photovoltaic systems are used for conversion of sun energy into un-regulated electrical energy. To track the maximum power point (MPP) MPPT controllers are used which provides duty cycle in order to on-off the MOSFET switch used in inductive-capacitive energy storage circuit. In existed literature, perturb-observe (PO) method is widely used and found effective than most of other methods. This work aims to develop an improved predictive power based PO method in order to improve convergence time to reach optimum, reduction of steady-state oscillations and consistency in ambient conditions. The simulation work is carried out in MATLAB and improved PO method is simulated using buck booster converter. Along with previous power and current power values predictive power is used in proposed predictive-PO method which is evaluated for PO method based output power using least mean square filtering. LMS reduces the oscillations in power waveform which is used further in predictive-PO to attain oscillation free output power. Proposed method can be used for standalone as well as well as micro-grid based applications.
Keywords: MPPT Algorithms, Irradiance, Perturb-observe, Predictive Power etc.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks