DocumentCode :
2802486
Title :
Study on the mathematical model and primary frequency regulation characteristics of combined cycle plants
Author :
Weimin, Kan ; Junrong, Xia ; Lin, Gao ; Yiping, Dai
Author_Institution :
Electr. Power Res. Inst., Tech. Dev. Dept., Guangdong Power Grid Corp., Guangzhou, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
2632
Lastpage :
2635
Abstract :
Combined cycle plants have significant impact on the primary frequency regulation stability of a power system. Because of the complexity and non-linearity of combined cycle plants, the modeling is very challenging. It is important to propose a simplified mathematical model for studying primary frequency regulation characteristics of combined cycle plants. In this paper, an appropriately simplified model is proposed based on classical model of a combined cycle plant. This model is suitable for power system analysis on primary frequency regulation stability. Parameters of the proposed model are identified by a method based on genetic algorithm. With all parameters identified, this dynamic model is applied to simulate a real 400MW combined cycle plant. The simulated results and the measured responses are in favorable agreements, indicating the feasibility of the proposed model. The results may be helpful for further studies on the primary frequency regulation of combined cycle plants.
Keywords :
combined cycle power stations; genetic algorithms; power system stability; combined cycle plants; complexity; dynamic model; genetic algorithm; mathematical model; power 400 MW; power system stability; primary frequency regulation characteristics; Frequency control; Fuels; Mathematical model; Power system dynamics; Power system stability; Temperature measurement; Turbines; Combined Cycle; Identification; Mathematical Model; Primary Frequency Regulation; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
Type :
conf
DOI :
10.1109/MACE.2011.5987524
Filename :
5987524
Link To Document :
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