DocumentCode
2790016
Title
Planning power system outages with decision analysis modeling
Author
Van Der Walt, Tjaart Nicolaas ; Van Waveren, Cornelis Cristo
Volume
2
fYear
2004
fDate
15-17 Sept. 2004
Firstpage
921
Abstract
Within the South African electricity supplier (Eskom) the outage scheduler working in the National Control department is responsible for sanctioning planned equipment outages on the interconnected power system. Currently this decision making process is not quantified. This work investigates the possibility of quantifying the decision by using decision analysis techniques. The decision analysis process suggested by Clemens is followed. A planned the outage situation is identified and deconstructed. With the use of reliability studies the failure probabilities are calculated and used in the decision model. The model is used to calculate expected values of the decision. Sensitivity analysis is used to identify which of the variables have the biggest impact on the decision. The conclusion of This work is that decision analysis techniques could greatly assist the outage scheduler, but for it to be useful, better faultfinding needs to be done to uncover the reasons for transmission line trips. By doing this the accuracy of the decision model would be vastly improved upon.
Keywords
decision making; failure analysis; fault location; power system interconnection; power system planning; power system reliability; power transmission faults; quality control; risk analysis; sensitivity analysis; Clemens decision making; Eskom; National Control department; South African electricity supplier; decision analysis modeling; equipment outage risk; failure probability; fault identification; interconnected power system; power system outage planning; power system reliability; quality control; sensitivity analysis; transmission line tripping; Control systems; Decision making; Power system analysis computing; Power system control; Power system interconnection; Power system modeling; Power system planning; Power system reliability; Power systems; Probability;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON, 2004. 7th AFRICON Conference in Africa
Print_ISBN
0-7803-8605-1
Type
conf
DOI
10.1109/AFRICON.2004.1406819
Filename
1406819
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