A Power Optimizer utilizing Nonlinear Adaptive Control for Distributed Photovoltaic Systems

DOI

10.2991/iccte-17.2017.107How to use a DOI?

Keywords

Power Optimizer, Nonlinear Adaptive control, Buck-boost converter, Photovoltaic system

Abstract

In order to improve the utilization of the solar energy,a PV power optimizer was investigated in this paper. According to the distributed maximum power point(DMPP) architecture, each of the PV cells is equipped with a power optimizer. The power optimizer utilizing nonlinear adaptive control, which is based on a nonlinear model describing the dynamics of the buck-boost converter. Theoretical analysis and the simulation results indicate that the proposed nonlinear adaptive control technique achieves fast and accurate MPPT under varying irradiance conditions. Compared with PID control method,the nonlinear adaptive control method takes less time to achieve MPPT. The simulation is performed by simpowersystem toolbox of MATLAB.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T. T. Sun
AU  - S. Q. Shao
AU  - J. L. Tang
PY  - 2017/07
DA  - 2017/07
TI  - A Power Optimizer utilizing Nonlinear Adaptive Control for Distributed Photovoltaic Systems
BT  - Proceedings of the 2017 2nd International Conference on Civil, Transportation and Environmental Engineering (ICCTE 2017)
PB  - Atlantis Press
SP  - 606
EP  - 611
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-17.2017.107
DO  - 10.2991/iccte-17.2017.107
ID  - Sun2017/07
ER  -