Promoting innovation in electricity distribution networks : new tools for regulators and planners

Recent years have seen an unprecedented increase in the adoption of distributed energy resources (DERs) in distribution networks around the world. In most jurisdictions the increase in DERs has been met with a "fit and forget" network management approach whereby grid planners accommodate these resources by expanding the capacity of the network with conventional technologies. However, the continued use of a "fit and forget" network management approach will lead to large inefficiencies compared to a network management approach in which DERs play an active role in the planning and operation of distribution networks. The transition to actively managed distribution networks, however, will require the development and deployment of a variety of new technologies and systems, and a sea change in the roles of electricity distribution utilities and in the ways in which utilities are regulated. The objective of this thesis is to equip regulators and network planners with a set of tools that, if adopted, will aid these organizations in transitioning from a passively managed to an actively managed network management paradigm. First, tools are presented for enabling network utilities to invest in the least-cost mix of conventional and unconventional network resources. These include regulatory tools for equalizing incentives for operational and capital expenditures, as well as a quantitative methodology that can aid planners in assessing the least-cost mix of conventional and unconventional investments. Second, regulatory tools are presented for enabling network utilities to adequately invest in specific outcomes that are not directly linked to economic efficiency but that will nonetheless be important for the transition to actively managed networks. Finally, regulatory tools are presented for encouraging distribution utilities to engage in long-term innovation - that is, investment in demonstration projects, as well as the technological learning that emerges from those projects and dissemination of knowledge and best practices between network utilities, technology providers, technology users, and other market participants.

Department dc:contributor.department

Massachusetts Institute of Technology. Institute for Data, Systems, and Society.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Luke, Max N

Advisor dc:contributor.advisor

• Ignacio Pérez-Arriaga and Richard Lester.

• Institute for Data, Systems, and Society.
• Engineering Systems Division.
• Technology and Policy Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/108214

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/108214