dc.contributor.advisor | Ignacio Pérez-Arriaga. | en_US |
dc.contributor.author | Jenkins, Jesse D. (Jesse David) | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Technology and Policy Program. | en_US |
dc.date.accessioned | 2014-09-19T21:36:53Z | |
dc.date.available | 2014-09-19T21:36:53Z | |
dc.date.copyright | 2014 | en_US |
dc.date.issued | 2014 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/90052 | |
dc.description | Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2014. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references. | en_US |
dc.description.abstract | Ongoing changes in the use and management of electricity distribution systems - including the proliferation of distributed energy resources, smart grid technologies (i.e., advanced power electronics and information and communication technologies) and active system management techniques - present new challenges for the economic regulation of electricity distribution utilities. In particular, regulators are likely to face increased uncertainty regarding the evolution of network uses and the efficient cost of network investments and maintenance, as well as an increased informational disadvantage vis-a-vis the regulated utility. These challenges are especially important for regulatory approaches that establish some share of the utility's allowed revenues ex ante (e.g., incentive regulation, also known as revenue or price cap regulation, RPI-X, performance-based regulation, or output-based regulation). This thesis proposes a novel process for establishing the allowed revenues of an electricity distribution utility and demonstrates its application as a practical solution to the imminent regulatory challenges discussed above. The proposed method is a new combination of three established regulatory tools: an engineering-based reference network model (RNM) for forward-looking benchmarking of efficient network expenditures; an incentive compatible menu of contracts to elicit accurate forecasts from the utility and create incentives for cost saving efficiency efforts; and ex post automatic adjustment mechanisms, or "delta factors," to accommodate uncertainty in the evolution of network use and minimize forecast error. Chapter 1 reviews the theoretical economic foundations of the regulation of network monopolies, identifies emerging challenges in the regulation of electricity distribution companies, and introduces the proposed regulatory method. Chapter 2 describes the simulation of a realistic, large-scale urban distribution network used to demonstrate the novel regulatory process proposed in this thesis. Chapter 3 uses the simulated distribution network to demonstrate, step-by-step, the practical implementation of the novel regulatory process, evaluates its performance, and summarizes the advantages for the economic regulation of electricity distribution utilities under increasing penetration of distributed energy resources. | en_US |
dc.description.statementofresponsibility | by Jesse D. Jenkins. | en_US |
dc.format.extent | 92 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
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. See provided URL for inquiries about permission. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Engineering Systems Division. | en_US |
dc.subject | Technology and Policy Program. | en_US |
dc.title | Economic regulation of electricity distribution utilities under high penetration of distributed energy resources : applying an incentive compatible menu of contracts, reference network model and uncertainty mechanisms | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. in Technology and Policy | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | |
dc.contributor.department | Technology and Policy Program | |
dc.identifier.oclc | 890140310 | en_US |