PV modeling and Maximum power extraction using Voltage Control Algorithm
B. Maniraj1, A. Peer Fathima2
1A Peer Fathima * School of Electrical Engineering, VIT, Chennai. Email:
2B Maniraj School of Electrical Engineering, VIT, Chennai. Email: 

Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 5220-5224 | Volume-8 Issue-4, November 2019. | Retrieval Number: D7418118419/2019©BEIESP | DOI: 10.35940/ijrte.D7418.118419

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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: In this paper a Voltage Control Algorithm (VCA) is implemented for maximum power point tracking (MPPT) from solar photovoltaic (PV) system with less complexity. In addition, single diode model is designed and applied for solar PV modelling without applying any approximation conditions. In modelling, PV manufacturer’s provides limited parameters in datasheet at standard test condition (STC). The information given in the manufacturer’s datasheet is not enough in identification of the characteristic curves of solar PV panel under different climatic conditions. In single diode model has five parameters namely, photo current , diode current (), series resistance (), shunt resistance () and ideality factor (A). These parameters are extracted using gauss seidal method with the help of manufacturer’s information. The suggested proposed MPPT algorithm is implemented in the DC-DC boost converter and simulation results are compared with existing P&O MPPT technique. Finally the proposed algorithm is able to track maximum power for given solar PV system with less oscillation and less complexity.
Keywords: Gauss Seidal Method, Single Diode Model, Solar PV System, Voltage Control Algorithm.
Scope of the Article: Approximation and Randomized Algorithms.