DocumentCode :
1361863
Title :
Why risk analysis outperforms probabilistic choice as the effective decision support paradigm for power system planning
Author :
Miranda, Vladimiro ; Proenca, L.M.
Author_Institution :
INESC, Macau
Volume :
13
Issue :
2
fYear :
1998
fDate :
5/1/1998 12:00:00 AM
Firstpage :
643
Lastpage :
648
Abstract :
This paper demonstrates that a classical stochastic optimization is, in many cases, not convenient for power system planning. Instead, a risk analysis approach is proposed. In a comparison of both planning paradigms, the probabilistic approach is in occasions not adequate, is half blind to compromise solutions and leads, in numerous, cases to riskier decisions. The technical discussion is illustrated with a distribution planning example
Keywords :
decision theory; distribution networks; power system planning; probability; risk management; compromise solutions; decision risk; decision support paradigm; power distribution system planning; probabilistic choice; risk analysis; technical discussion; Cost function; Decision making; Power measurement; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; Risk analysis; Stochastic processes; Stochastic systems;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.667394
Filename :
667394
Link To Document :
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