2026-09-19T15:00:52Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/694812026-06-06T01:06:18Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ignacio Perez-Arriaga.
Whitaker, Andrew C. (Andrew Craig)
Massachusetts Institute of Technology. Technology and Policy Program.
Massachusetts Institute of Technology. Engineering Systems Division
n-usn--
2012-02-29T17:58:30Z
2012-02-29T17:58:30Z
2011
2011
http://hdl.handle.net/1721.1/69481
775595674
Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 85-88).
With restructuring of the traditional, vertically integrated electricity industry come new opportunities for electricity demand to actively participate in electricity markets. Traditional definitions of power system reliability have carried over from the vertically integrated market structure, but this thinking will become increasingly problematic as the proportion of electricity demand responsive to market prices increases. Using New England as an example, this thesis highlights these difficulties by employing a Probabilistic Production Costing model modified to account for price responsive demand. A Neural Gas clustering algorithm is used to deal with the time-varying nature of price responsive demand. We show that neglecting to account for price responsive demand could result in underestimating system reliability by traditional measures, and discuss a possible new metric to help the transition to thinking of reliability as one aspect of whole market performance.
by Andrew C. Whitaker.
S.M. in Technology and Policy
96 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Engineering Systems Division.
Technology and Policy Program.
Reliability implications of price responsive demand : a study of New England's power system
Study of New England's power system
Thesis
application/pdf
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Publication
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<Abstract>With restructuring of the traditional, vertically integrated electricity industry come new opportunities for electricity demand to actively participate in electricity markets. Traditional definitions of power system reliability have carried over from the vertically integrated market structure, but this thinking will become increasingly problematic as the proportion of electricity demand responsive to market prices increases. Using New England as an example, this thesis highlights these difficulties by employing a Probabilistic Production Costing model modified to account for price responsive demand. A Neural Gas clustering algorithm is used to deal with the time-varying nature of price responsive demand. We show that neglecting to account for price responsive demand could result in underestimating system reliability by traditional measures, and discuss a possible new metric to help the transition to thinking of reliability as one aspect of whole market performance.</Abstract>
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