Implementation of dithering digital ripple correlation control for photovoltaic maximum power point tracking with windowed sensing
Barth, Christopher
Loading…
Permalink
https://hdl.handle.net/2142/72811
Description
Title
Implementation of dithering digital ripple correlation control for photovoltaic maximum power point tracking with windowed sensing
Author(s)
Barth, Christopher
Issue Date
2015-01-21
Director of Research (if dissertation) or Advisor (if thesis)
Pilawa-Podgurski, Robert C.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
digital control of photovoltaics
digital ripple correlation control (DRCC)
energy harvesting
maximum power point trackers (MPPT)
Photovoltaic cells
ripple-based control
ripple correlation control (RCC)
solar energy
maximum power point tracking
digitally enhanced analog
windowed analog-to-digital converter (ADC)
Abstract
This thesis presents the hardware demonstration of a new method for rapid and precise maximum power point tracking in photovoltaic applications using dithered PWM control. Constraints imposed by efficiency, cost and component size limit the available PWM resolution of a power converter, and may
in turn limit the MPP tracking efficiency of the photovoltaic (PV) system. In these scenarios, PWM dithering can be used to improve average PWM resolution. This thesis provides the hardware demonstration of a control technique that uses ripple correlation control (RCC) on the dithering ripple, thereby achieving simultaneous fast tracking speed and high tracking accuracy. Moreover, the proposed method solves some of the practical challenges that have to date limited the effectiveness of RCC in solar PV applications. The theoretical derivation of dithering digital ripple correlation control (DDRCC) is
reviewed, and a low-cost method of using digitally enhanced windowing to improve the effective sensing resolution of the system is presented. Finally, experimental results that show excellent tracking speed and accuracy with
basic hardware requirements are given.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
