Variability in output and reliability of broadly distributed wind farms and solar arrays as a function of the system scale
Rao, Harikrishna
Loading…
Permalink
https://hdl.handle.net/2142/34245
Description
Title
Variability in output and reliability of broadly distributed wind farms and solar arrays as a function of the system scale
Author(s)
Rao, Harikrishna
Issue Date
2012-09-18T21:07:42Z
Director of Research (if dissertation) or Advisor (if thesis)
Sauer, Peter W.
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)
wind
energy
hybrid
solar
ramping
wind and solar pattern
correlation
geographic diversification
mean variance portfolio
Abstract
This study was motivated by the current difficulties faced by the electric power industry in maintaining acceptable levels of electric grid reliability in broadly distributed wind and solar resources. This thesis presents a study on the geographic diversification of wind turbines and solar arrays to minimize the variance in the expected renewable output according to the mean variance portfolio theory. The uncorrelatedness in the wind and solar patterns amongst geographically diverse sites could compensate shortfalls in electric generation in a region. By studying the effects of deployment of renewable capacity in progressively larger deployment zones within the U.S. we hope to identify an optimal scale for a broadly distributed system as dictated by its reliability. The study monitors measurements of the loss of load probability (LOLP), expected unserved energy (EUE) and the ramping of the controllable load to study the electric reliability of hybrid wind and solar resources as function of the system scale.
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.