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U.S. Department of Energy
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Linear-programming approach to electricity demand-curtailment planning

Conference ·
OSTI ID:5273166
Curtailment planning at a generally rudimentary level has been undertaken by the governments of some twenty states. Many utilities have demand-curtailment plans, however, these are often incorporated in plans for meeting capacity shortages. In at least five states, there are apparently no curtailment plans either at the state-government level or at the utility level. Moreover, none of the existing electricity demand curtailment plans examined included an explicit statement of the planners' objective in arriving at a specified sharing of the burdens of curtailment among consumer classes. Yet clearly the actual allocations of such burdens will affect the cost of the shortage. Since a study of state planning failed to yield a clear-cut indication of which of many possible curtailment allocation schemes would best serve as a point of departure for the design of an optimal curtailment strategy to deal with prolonged supply deficiencies, it was then decided to use a linear-programming approach. The advantages of such an approach are examined first, after which some important conceptual and practical problems in the design of a specific linear-programming model are addressed. A mathematical statement of the model is then followed by a brief review the principal methodological shortcomings of the linear-programming approach. Finally, the authors discuss how the analysis might be expanded to account for inter-regional and other secondary effects of curtailment.
Research Organization:
Brookhaven National Lab., Upton, NY (USA). National Center for Analysis of Energy Systems
Sponsoring Organization:
USDOE
DOE Contract Number:
AC02-76CH00016
OSTI ID:
5273166
Report Number(s):
BNL-27816; CONF-800571-2
Country of Publication:
United States
Language:
English