By Topic

Planning for New Electric Generation Technologies A Stochastic Dynamic Programming Approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Dapklus, W.D. ; Decision Systems Associates ; Bowe, T.R.

An expansion planning method is developed which considers the complex, uncertain and dynamic nature of the electric utility decision environment. A stochastic dynamic programming model is formkilated and applied in case studies. Uncertainty in demarid, the commercialization date of new technologies, and the possible loss of service of existing nuclear capacity is considered. Uncertainty affects the current expansion decision. Because of these uncertainties, no single expansion plan is optimal. Contingency plans are established which consider how uncertainty is resolved over time. The conditions which must exist for the new technology to be chosen are identified.

Published in:

Power Apparatus and Systems, IEEE Transactions on  (Volume:PAS-103 ,  Issue: 6 )