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Patterns of Transmission Investments

Name: Patterns of Transmission Investments
Creator: Joskow, Paul L.
Keywords: 02110801 Energy policy/Renewable energy commercialization/Renewable energy, L51, L14, L43, L94, 330, 020209 energy, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 021108 energy, 02 engineering and technology, Economics and Finance, Politics and Public Policy, 7. Clean energy

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Research , Other literature type , Preprint , Book , Report 21 Dec 2006Embargo end date: 14 Mar 2006 United States, United Kingdom Publisher:Edward Elgar Publishing

Authors: Joskow, Paul L.;

doi: 10.4337/9781847204356.00015 , 10.17863/cam.5471

handle: 1721.1/45034

Patterns of Transmission Investments

- Summary
- Subjects
- Metrics

Abstract

This paper examines a number of issues associated with alternative analytical approaches for evaluating investments in electricity transmission infrastructure, and institutional arrangements to govern network operation, maintenance and investment. The relationships between transmission investments driven by opportunities to reduce congestion and loss costs and transmission investment driven by traditional engineering reliability criteria are discussed. Reliability rules play a much more important role in transmission investment decisions today than do economic investment criteria as depicted in standard economic models of transmission networks. These models fail to capture key aspects of transmission operating and investment behaviour that are heavily influenced by uncertainty, contingency criteria and associated engineering reliability rules. I illustrate how the wholesale market and transmission investment frameworks have addressed these issues in England and Wales (E&W) since 1990 and in the PJM Regional Transmission Organization (RTO) in the U.S. since 2000.

Countries

United States, United Kingdom

Related Organizations

University of Cambridge
United Kingdom
Massachusetts Institute of Technology
United States

Keywords

L51, L14, L43, L94, 330, Economics and Finance, Politics and Public Policy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	50
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%