By Topic

Application of the value-based approach to the planning of customer delivery systems

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
$33 $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

3 Author(s)
M. A. Abu-El-Magd ; Electr. & Comput. Eng. Dept., McMaster Univ., Hamilton, Canada ; G. A. Hamoud ; R. D. Findlay

Customer delivery systems have been planned to deterministic criteria for a long time. With these criteria, new capacity is determined when the system load is just equal to the system limited time rating. Even, some electrical utilities in North America allow for some positive reserve margin in order to cover for load forecast uncertainty. These deterministic criteria do not quantify the reliability of the system and in many situations, can result in over-designed systems and therefore, the electricity users can end up paying higher prices for electricity. In a competitive electricity market, transmission system owners or providers should try to keep the cost of upgrading, operating and maintaining their systems as low as possible while meeting the expectations of their customers and regulatory rules. This paper describes the application of a value-based approach to the planning of customer delivery systems. In this application, the reliability of the system is expressed as a function of the reserve margin (the difference between the station limited time rating and the station forecast load) and the optimal reserve level is obtained when the total system cost, the sum of capital and unreliability costs, is minimal. Sensitivity studies are carried out to determine the impact of changes in some key parameters on the optimal reserve margin. Examples are presented to illustrate the concepts involved.

Published in:

IEEE Transactions on Power Systems  (Volume:19 ,  Issue: 4 )