DocumentCode :
3066303
Title :
Method for minimax optimization of power system operation
Author :
Valdma, M. ; Keel, M. ; Liik, O. ; Tammoja, H.
Author_Institution :
Dept. of Electr. Power Eng., Tallinn Tech. Univ., Estonia
Volume :
2
fYear :
2003
fDate :
23-26 June 2003
Abstract :
A power system operation can be optimized on the deterministic, probability, interval uncertainty and fuzzy level. A new approach to the optimization of power system operation on the interval uncertainty level has been proposed. The characteristics of power generation units, power demand, deviations of active power of power plants and water discharges of hydro power plants are considered as interval uncertainty factors. The objective of the optimization task is to minimize the maximum value of the risk caused by the uncertainty of information. The mathematical models for minimax optimization of short-term hydro-thermal scheduling problem and a new solution method called "method of planned characteristics" are presented in this paper. The scheduling problem can be solved using the planned characteristic\´s method in two stages: calculation of planned characteristics for the uncertainty factors, solving of the deterministic equivalent of the min-max problem. In addition the problem of unit commitment under uncertainty conditions and some problems of computation are discussed.
Keywords :
fuzzy systems; hydroelectric power stations; mathematical analysis; optimal control; optimisation; power generation control; power generation scheduling; probability; thermal power stations; active power; hydro power plants; hydro-thermal scheduling problem; mathematical models; optimal control; optimization method; planned characteristic method; power demand; power generation units; power system control; power system operation; water discharges; Fuzzy systems; Mathematical model; Minimax techniques; Optimization methods; Power demand; Power generation; Power systems; Processor scheduling; Uncertainty; Water;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech Conference Proceedings, 2003 IEEE Bologna
Print_ISBN :
0-7803-7967-5
Type :
conf
DOI :
10.1109/PTC.2003.1304670
Filename :
1304670
Link To Document :
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