DocumentCode :
3214616
Title :
A triple-stage algorithm for optimal unit scheduling of thermal units
Author :
Yu, Sun-Nien
Author_Institution :
Chung Chou Inst. of Technol., Yuanlin
fYear :
2009
fDate :
15-18 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
Scheduling the economic generation of thermal units is a critical task in a large scale power system because it significantly reduces annual production cost. This study presents a novel triple-stage algorithm to solve the problem of combining unit commitment and economic dispatch of the thermal units while minimizing cost. The proposed algorithm divides all the units into five groups and finds potential combinations with a redundancy factor in the first stage. Then, employ a simplified economic dispatch method and a look forward method to obtain the optimal unit scheduling in the second stage. Lastly, a look backward method is applied to refine the optimal solution in the third stage. When the discontinuous cost function of unit is considered, a zero cost power method is also used. Finally, two test cases are simulated and the results compared with existing methods. Simulation results demonstrate the outstanding performance of the proposed method.
Keywords :
costing; power generation dispatch; power generation economics; power generation scheduling; thermal power stations; annual production cost; discontinuous cost function; economic dispatch; economic generation; large scale power system; look backward method; optimal unit scheduling; thermal units; triple-stage algorithm; unit commitment; zero cost power method; Artificial intelligence; Concurrent computing; Cost function; Fuel economy; Lagrangian functions; Power generation; Power generation economics; Production; Scheduling algorithm; Spinning; Unit commitment; discontinuous cost function; generation dispatch; ramp rate constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
Type :
conf
DOI :
10.1109/PSCE.2009.4839991
Filename :
4839991
Link To Document :
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