DocumentCode
560684
Title
Notice of Retraction
Automatic generation control based on PSO and on-line generator parameter identification
Author
Luo Weihua ; Feng Songqi
Author_Institution
Liaoning Electr. Power Co. Ltd., Shenyang, China
Volume
2
fYear
2011
fDate
8-9 Sept. 2011
Firstpage
41
Lastpage
44
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The paper applied PSO (particle swarm optimization) Algorithm and the online generator parameter identification which could obtain the adjustment rate, the regulation accuracy, the response time of generators to AGC (automatic generation control) Strategy in interconnected power grid in the CPS (Control Performance Standard) standard. In the paper, Firstly analyze PSO, ACE (area controlling error), CPS and the on-line generator parameter identification. Secondly, apply PSO Algorithm to AGC Strategy. The experiment show that the control strategy which be promised in the paper due to reducing the adjustment time and the penalty charge, improving the adjustment rate and the regulation accuracy, improving the index of CPS1 ,CPS2 and the AGC performance.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The paper applied PSO (particle swarm optimization) Algorithm and the online generator parameter identification which could obtain the adjustment rate, the regulation accuracy, the response time of generators to AGC (automatic generation control) Strategy in interconnected power grid in the CPS (Control Performance Standard) standard. In the paper, Firstly analyze PSO, ACE (area controlling error), CPS and the on-line generator parameter identification. Secondly, apply PSO Algorithm to AGC Strategy. The experiment show that the control strategy which be promised in the paper due to reducing the adjustment time and the penalty charge, improving the adjustment rate and the regulation accuracy, improving the index of CPS1 ,CPS2 and the AGC performance.
Keywords
particle swarm optimisation; power generation control; power system interconnection; power system parameter estimation; ACE; AGC strategy; CPS standard; PSO algorithm; area controlling error; automatic generation control strategy; control performance standard; generator response time; interconnected power grid; online generator parameter identification; particle swarm optimization algorithm; Accuracy; Automatic generation control; Generators; Parameter estimation; Particle swarm optimization; Power grids; automatic generation control; online generator parameter identification; particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2011 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9691-4
Type
conf
DOI
10.1109/PEAM.2011.6134903
Filename
6134903
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