Quantitative Decision-Making Model for Distribution System Restoration

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...

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Bibliographic Details
Published in:IEEE transactions on power systems 2010-02, Vol.25 (1), p.313-321
Main Author: Chen, Wen-Hui
Format: Article
Language:English
Subjects:
Analytical hierarchy process (AHP)
Circuit breakers
Circuit faults
Conferences
Decision making
Distributed decision making
Emergencies
Emergency procedures
Feeders
Fuzzy systems
grey relational analysis (GRA)
Hierarchies
Mathematical analysis
Performance analysis
performance index
Power system analysis computing
Power system protection
Power system restoration
Power systems
Restoration
service restoration
Switching
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Summary: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.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2009.2036811