• Information Technology
  • Human Resources
  • Careers
  • Giving
  • Library
  • Bookstore
  • Active Living
  • Continuing Education
  • Go Dinos
  • UCalgary Maps
  • UCalgary Directory
  • Academic Calendar
My UCalgary
Webmail
D2L
ARCHIBUS
IRISS
  • Faculty of Arts
  • Cumming School of Medicine
  • Faculty of Environmental Design
  • Faculty of Graduate Studies
  • Haskayne School of Business
  • Faculty of Kinesiology
  • Faculty of Law
  • Faculty of Nursing
  • Faculty of Nursing (Qatar)
  • Schulich School of Engineering
  • Faculty of Science
  • Faculty of Social Work
  • Faculty of Veterinary Medicine
  • Werklund School of Education
  • Information TechnologiesIT
  • Human ResourcesHR
  • Careers
  • Giving
  • Library
  • Bookstore
  • Active Living
  • Continuing Education
  • Go Dinos
  • UCalgary Maps
  • UCalgary Directory
  • Academic Calendar
  • Libraries and Cultural Resources
View Item 
  •   PRISM Home
  • Graduate Studies
  • The Vault: Electronic Theses and Dissertations
  • View Item
  •   PRISM Home
  • Graduate Studies
  • The Vault: Electronic Theses and Dissertations
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

On Net Load and Invisible Solar Power Generation Estimation In Modern Power Systems

Thumbnail
View
Main thesis
Download
Main thesis (5.526Mb)
Advisor
Zareipour, Hamidreza
Wood, David Howe
Author
Shakerardakani, Hamid
Committee Member
Messier, Geoffrey
Nowicki, Edwin Peter
Bergerson, Joule A
Li, Yunwei
Accessioned
2016-01-18T21:28:32Z
Available
2016-01-18T21:28:32Z
Issued
2016-01-18
Submitted
2016
Other
renewable energy
behind-the-meter solar
invisible solar power generation
wind energy
solar energy
net load
data dimension reduction
California Renewable Portfolio Standard
forecasting
fuzzy systems
Subject
Engineering--Electronics and Electrical
Engineering--Environmental
Type
Thesis
Metadata
Show full item record

Abstract
Integration of wind and solar power generation into power systems has grown significantly over the past decade. While system operators have managed the variable and non-dispatchable nature of these resources at current levels, their large-scale integration would pose new challenges in power systems operation procedures. In particular, net load, which is the conventional load minus the non-dispatchable generation, would significantly deviate from load as the penetration level increases. The main non-dispatchable sources of electricity generation are utility-scale and small- scale behind-the-meter wind and solar power. This thesis focuses on characteristics of the net load in power systems when a large amount of wind and solar power generation is integrated into the grid. Historical and simulated net load scenarios are analyzed from a variety of perspectives. It also evaluates the effect of wind integration level on the net load forecasting accuracy. Additionally, the thesis proposes two methodologies to estimate invisible solar power generation using the data from a limited number of sites. The first approach uses data mining tools to identify the critical sites for continuous monitoring. The second approach models the uncertainties of the invisible solar power production using fuzzy arithmetic applied to publicly available production data. This is the first study using public data in the field. Numerical simulations are provided based on California, Alberta, and Ireland power systems. The results show the importance of understanding the changes related to significant wind and solar power generation. New morning downward and an increased level of afternoon upward net load ramps were found compared to the conventional load. The net load was also found to be more volatile compared to the load. In addition, numerical results prove the efficiency and accuracy of the proposed methodologies for the invisible solar power generation estimation. The results showed that continuous monitoring of a small number of sites is enough for accurate estimations. Moreover, the fuzzy model is capable of producing accurate estimations by using public data of only 20 sites per subregion.
Corporate
University of Calgary
Faculty
Graduate Studies
Doi
http://dx.doi.org/10.5072/PRISM/27182
Uri
http://hdl.handle.net/11023/2762
Collections
  • The Vault: Electronic Theses and Dissertations

Browse

All of PRISMCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

  • Email
  • SMS
  • 403.220.8895
  • Live Chat

Energize: The Campaign for Eyes High

Privacy Policy
Website feedback

University of Calgary
2500 University Drive NW
Calgary, AB T2N 1N4
CANADA

Copyright © 2017