{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/69481"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/69481","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Reliability implications of price responsive demand : a study of New England's power system","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_html":"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_has_math":false,"creators":["Whitaker, Andrew C. (Andrew Craig)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Engineering Systems Division.","school":null,"contributors":[],"advisors":["Ignacio Perez-Arriaga."],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011","date_published":"2011","updated_at":"2026-07-22T22:22:09Z","subjects":["Engineering Systems Division.","Technology and Policy Program."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/69481","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Ignacio Perez-Arriaga."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Engineering Systems Division.","Massachusetts Institute of Technology. Technology and Policy Program."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Technology and Policy Program."]},{"key":"dc:creator","label":"Author","values":["Whitaker, Andrew C. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M.in Technology and Policy"]},{"key":"dc:title","label":"Title","values":["Reliability implications of price responsive demand : a study of New England's power system"]}]}],"canonical_facts":{"dc:contributor.advisor":["Ignacio Perez-Arriaga."],"dc:contributor.department":["Massachusetts Institute of Technology. Engineering Systems Division.","Massachusetts Institute of Technology. Technology and Policy Program."],"dc:contributor.other":["Massachusetts Institute of Technology. Technology and Policy Program."],"dc:creator":["Whitaker, Andrew C. 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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."],"dc:description.degree":["S.M.in Technology and Policy"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/69481"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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. 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