Notice of RetractionAutomatic generation control based on PSO and on-line generator parameter identification

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.