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Decision Making for the Collaborative Energy Supply System of Oregon and Washington

[+] Author Affiliations
Bryony DuPont, Ridwan Azam, Scott Proper, Eduardo Cotilla-Sanchez, Christopher Hoyle

Oregon State University, Corvallis, OR

Joseph Piacenza

California State University, Fullerton, Fullerton, CA

Danylo Oryshchyn, Steve Zitney, Stephen Bossart

National Energy Technology Laboratory, Morgantown, WV

Paper No. POWER2015-49509, pp. V001T01A012; 10 pages
doi:10.1115/POWER2015-49509
From:
  • ASME 2015 Power Conference collocated with the ASME 2015 9th International Conference on Energy Sustainability, the ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2015 Nuclear Forum
  • ASME 2015 Power Conference
  • San Diego, California, USA, June 28–July 2, 2015
  • Conference Sponsors: Power Division
  • ISBN: 978-0-7918-5660-4
  • Copyright © 2015 by ASME

abstract

As demand for electricity in the United States continues to increase, it is necessary to explore the means through which the modern power supply system can accommodate both increasing affluence (which is accompanied by increased per-capita consumption) and the continually growing global population. Though there has been a great deal of research into the theoretical optimization of large-scale power systems, research into the use of an existing power system as a foundation for this growth has yet to be fully explored. Current successful and robust power generation systems that have significant renewable energy penetration — despite not having been optimized a priori — can be used to inform the advancement of modern power systems to accommodate the increasing demand for electricity. Leveraging ongoing research projects at Oregon State University and the National Energy Technology Laboratory, this work explores how an accurate and state-of-the-art computational model of the Oregon/Washington (OR/WA) energy system can be employed as part of an overarching power systems optimization scheme that looks to inform the decision making process for next generation power supply systems. Research scenarios that explore an introductory multi-objective power flow analysis for the OR/WA grid will be shown, along with a discussion of future research directions.

Copyright © 2015 by ASME
Topics: Decision making

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