By Topic

Quantitative Decision-Making Model for Distribution System Restoration

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

1 Author(s)
Wen-Hui Chen ; Grad. Inst. of Autom. Technol., Nat. Taipei Univ. of Technol., Taipei, Taiwan

Distribution system restoration is a process of finding backup feeders to restore the load in out-of-service zones by switching operations. A feasible restoration plan must satisfy some practical objectives under operational constraints. Since there may be a tradeoff between objectives, and decision preferences vary from one situation to another, how to evaluate and choose a suitable restoration plan under system emergency has become a real challenge in modern power system operation. Conventional approaches can find feasible restoration plans but fail to identify their relative performance as it is unable to make a quantitative comparison among them. In this paper, we propose a quantitative evaluation framework for ranking restoration plans with their performance indexes, using the analytical hierarchy process-based fuzzy-grey approach. Experimental results showed that the proposed method was effective and helpful in assisting operators during the restoration process.

Published in:

Power Systems, IEEE Transactions on  (Volume:25 ,  Issue: 1 )