Maximum power point tracking for photovoltaic systems using adaptive extremum seeking control

Author

Li, Xiao ; Li, Yaoyu ; Seem, John E. ; Lei, Peng

Author_Institution

Univ. of Wisconsin - Milwaukee, Milwaukee, MI, USA

fYear

2011

fDate

12-15 Dec. 2011

Firstpage

1503

Lastpage

1508

Abstract

To maintain the maximum achievable efficiency for the photovoltaic (PV) systems, it is crucial to achieve the maximum power point tracking (MPPT) operation for realistic illumination conditions. This paper presents the application of the adaptive extremum seeking control (AESC) scheme to the PV MPPT problem. A state-space model is derived for the PV system with buck converter. The AESC is used to maximize the power output by tuning the duty ratio of the pulse-width modulator (PWM) of the DC-DC buck converter. To address the nonlinear PV characteristics, the radial basis function (RBF) neural network is used to approximate the unknown nonlinear I-V curve. The convergence of the system to an adjustable neighborhood of the optimum is guaranteed by utilizing a Lyapunov-based adaptive control method. The performance of the controller is verified through simulations.

Keywords

Lyapunov methods; PWM power convertors; adaptive control; maximum power point trackers; neurocontrollers; photovoltaic power systems; power generation control; radial basis function networks; state-space methods; AESC scheme; DC-DC buck converter PWM; Lyapunov-based adaptive control method; MPPT operation; PV MPPT problem; PV systems; RBF neural network; adaptive extremum seeking control scheme; illumination conditions; maximum power point tracking; nonlinear I-V curve; nonlinear PV characteristics; photovoltaic systems; pulsewidth modulator; radial basis function neural network; state-space model; Adaptation models; Approximation methods; Arrays; Convergence; Equations; Steady-state; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on

Conference_Location

Orlando, FL

ISSN

0743-1546

Print_ISBN

978-1-61284-800-6

Electronic_ISBN

0743-1546

Type

conf

DOI

10.1109/CDC.2011.6161436

Filename

6161436